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Foutse KhomhDépartement de génie informatique et génie logiciel
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Abidi, M., Rahman, M.S., Openja, M., & Khomh, F. (2024). Design smells in multi-language systems and bug-proneness: a survival analysis. Empirical Software Engineering, 29, 106 (42 pages). Lien externe
Abukhalaf, S., Hamdaqa, M., & Khomh, F. (avril 2024). PathOCL: Path-Based Prompt Augmentation for OCL Generation with GPT-4 [Communication écrite]. 1st IEEE/ACM International Conference on AI Foundation Models and Software Engineering (FORGE 2024), Lisbon, Portugal. Lien externe
Abukhalaf, S., Hamdaqa, M., & Khomh, F. On Codex Prompt Engineering for OCL Generation: An Empirical Study [Communication écrite]. 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR 2023), Melbourne, Australia. Lien externe
Aghili, R., Li, H., & Khomh, F. (2023). Studying the characteristics of AIOps projects on GitHub. Empirical Software Engineering, 28(6), 143 (49 pages). Lien externe
Abidi, M., Rahman, M. S., Openja, M., & Khomh, F. (2022). Multi-language design smells: a backstage perspective. Empirical Software Engineering, 27(5), 52 pages. Lien externe
Abidi, M., Rahman, M. S., Openja, M., & Khomh, F. (2021). Are Multi-Language Design Smells Fault-Prone? An Empirical Study. ACM Transactions on Software Engineering and Methodology, 30(3), 1-56. Lien externe
Aly, M., Khomh, F., & Yacout, S. (décembre 2021). On the performance implications of deploying IoT apps as faas [Communication écrite]. 1st International Conference on Advanced Network Technologies and Intelligent Computing (ANTIC 2021), Varanasi, India. Lien externe
Aly, M., Khomh, F., & Yacout, S. (2021). What Do Practitioners Discuss about IoT and Industry 4.0 Related Technologies? Characterization and Identification of IoT and Industry 4.0 Categories in Stack Overflow Discussions. Internet of Things, 14, 100364. Lien externe
Abidi, M., Openja, M., & Khomh, F. (juin 2020). Multi-language design smells : a backstage perspective [Communication écrite]. 17th International Conference on Mining Software Repositories (MSR 2020), Seoul, Republic of Korea. Lien externe
Adams, B., & Khomh, F. (2020). The Diversity Crisis of Software Engineering for Artificial Intelligence. IEEE Software, 37(5), 104-108. Lien externe
Abidi, M., & Khomh, F. (juillet 2020). Towards the definition of patterns and code smells for multi-language systems [Communication écrite]. European Conference on Pattern Languages of Programs (EuroPLoP 2020), New York, NY, USA (13 pages). Lien externe
Abidi, M., Khomh, F., & Guéhéneuc, Y.-G. (juillet 2019). Anti-patterns for multi-language systems [Communication écrite]. 24th European Conference on Pattern Languages of Programs (EuroPLoP 2019), Irsee, Germany (14 pages). Lien externe
Abidi, M., Grichi, M., & Khomh, F. (novembre 2019). Behind the scenes: developers' perception of multi-language practices [Communication écrite]. 29th Annual International Conference on Computer Science and Software Engineering (CASCON 2019), Toronto, Ontario, Canada. Lien externe
Abidi, M., Grichi, M., Khomh, F., & Guéhéneuc, Y.-G. (juillet 2019). Code smells for multi-language systems [Communication écrite]. 24th European Conference on Pattern Languages of Programs (EuroPLoP 2019), Irsee, Germany (13 pages). Lien externe
An, L., Castelluccio, M., & Khomh, F. (2019). An empirical study of DLL injection bugs in the Firefox ecosystem. Empirical Software Engineering, 24(4), 1799-1822. Lien externe
Asri, I. E., Kerzazi, N., Uddin, G., Khomh, F., & Janati Idrissi, M. A. (2019). An empirical study of sentiments in code reviews. Information and Software Technology, 114, 37-54. Lien externe
Aly, M., Khomh, F., Haoues, M., Quintero, A., & Yacout, S. (2019). Enforcing security in Internet of Things frameworks: A Systematic Literature Review. Internet of Things, 6, 100050 (24 pages). Lien externe
Aly, M., Khomh, F., Guéhéneuc, Y.-G., Washizaki, H., & Yacout, S. (2019). Is fragmentation a threat to the success of the Internet of things? IEEE Internet of Things Journal, 6(1), 472-487. Lien externe
An, L., Khomh, F., & Guéhéneuc, Y.-G. (2018). An empirical study of crash-inducing commits in Mozilla Firefox. Software Quality Journal, 26(2), 553-584. Lien externe
Aly, M., Khomh, F., & Yacout, S. (novembre 2018). Kubernetes or OpenShift? Which Technology Best Suits Eclipse Hono IoT Deployments [Communication écrite]. 11th IEEE Conference on Service-Oriented Computing and Applications (SOCA 2018), Paris, France. Lien externe
Adams, B., Bellomo, S., Bird, C., Debic, B., Khomh, F., Moir, K., & Oduinn, J. (2018). Release engineering 3.0. IEEE Software, 35(2), 22-25. Lien externe
Armstrong, F., Khomh, F., & Adams, B. (mars 2017). Broadcast vs. unicast review technology: Does it matter? [Communication écrite]. 10th IEEE International Conference on Software Testing, Verification and Validation (ICST 2017), Tokyo, Japan. Lien externe
An, L., Mlouki, O., Khomh, F., & Antoniol, G. (février 2017). Stack Overflow: A code laundering platform? [Communication écrite]. 24th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2017), Klagenfurt, Austria. Lien externe
Adams, B., Bellomo, S., Bird, C., Khomh, F., & Moir, K. (mai 2015). 3rd International Workshop on Release Engineering (RELENG 2015) [Communication écrite]. IEEE/ACM 37th IEEE International Conference on Software Engineering (ICSE 2015), Florence, Italy. Lien externe
An, L., & Khomh, F. (octobre 2015). An empirical study of crash-inducing commits in Mozilla Firefox [Communication écrite]. 11th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2015), Beijing, China. Lien externe
An, L., & Khomh, F. (août 2015). An Empirical Study of Highly Impactful Bugs in Mozilla Projects [Communication écrite]. IEEE International Conference on Software Quality, Reliability and Security (QRS 2015), Vancouver, BC, Canada. Lien externe
Abtahizadeh, S. A., Khomh, F., & Guéhéneuc, Y.-G. (décembre 2015). How green are cloud patterns? [Communication écrite]. 34th IEEE International Performance Computing and Communications Conference (IPCCC 2015), Nanjing, China (8 pages). Lien externe
Adams, B., Bellomo, S., Bird, C., Marshall-Keim, T., Khomh, F., & Moir, K. (2015). The practice and future of release engineering: A roundtable with three release engineers. IEEE Software, 32(2), 42-49. Lien externe
An, L., Khomh, F., & Adams, B. (septembre 2014). Supplementary Bug Fixes vs. Re-opened Bugs [Communication écrite]. 14th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2014), Victoria, BC. Lien externe
Adams, B., Bird, C., Khomh, F., & Moir, K. (mai 2013). 1st International Workshop on Release Engineering (RELENG 2013) [Communication écrite]. 35th International Conference on Software Engineering (ICSE 2013), San Francisco, CA, USA. Lien externe
Abbes, M., Khomh, F., Guéhéneuc, Y.-G., & Antoniol, G. (mars 2011). An empirical study of the impact of two antipatterns, Blob and Spaghetti Code, on program comprehension [Communication écrite]. 15th European Conference on Software Maintenance and Reengineering (CSMR 2011), Oldenburg, Germany. Lien externe
Antoniol, G., Ayari, K., Penta, M. D., Khomh, F., & Guéhéneuc, Y.-G. (octobre 2008). Is it a bug or an enhancement?: a text-based approach to classify change requests [Communication écrite]. 18th Annual International Conference of th Center for Advanced Studies on Collaborative Research (CASCON 2008), Richmond Hill, Ontario. Lien externe
Braunschweig, B., Buijsman, S., Chamroukhi, F., Heintz, F., Khomh, F., Mattioli, J., & Poretschkin, M. (2024). AITA: AI trustworthiness assessment. AI and Ethics, 4(1), 1-3. Lien externe
Berhe, S., Khan, V., Khan, O., Pader, N., Farooqi, A. Z., Maynard, M., & Khomh, F. (2024). Triage Software Update Impact via Release Notes Classification. Procedia Computer Science, 238, 618-622. Lien externe
Badran, K., Cote, P.-O., Kolopanis, A., Bouchoucha, R., Collante, A., Costa, D. E., Shihab, E., & Khomh, F. (2023). Can Ensembling Preprocessing Algorithms Lead to Better Machine Learning Fairness? Computer, 56(4), 71-79. Lien externe
Berhe, S., Maynard, M., & Khomh, F. (mars 2023). Maintenance Cost of Software Ecosystem Updates [Communication écrite]. 6th International Conference on Emerging Data and Industry 4.0 (EDI40 2023), Leuven, Belgium. Publié dans Procedia Computer Science, 220. Lien externe
Bouchoucha, R., Braiek, H. B., Khomh, F., Bouzidi, S., & Zaatour, R. (2023). Robustness assessment of hyperspectral image CNNs using metamorphic testing. Information and Software Technology, 162, 10 pages. Lien externe
Biagiola, M., Cardozo, N., Shin, D., Khomh, F., Stocco, A., & Riccio, V. (2023). Summary of the Fourth International Workshop on Deep Learning for Testing and Testing for Deep Learning (DeepTest 2023). ACM SIGSOFT Software Engineering Notes, 48(4), 39-40. Lien externe
Ben Braiek, H., & Khomh, F. (2023). Testing Feedforward Neural Networks Training Programs. ACM Transactions on Software Engineering and Methodology, 32(4), 1-61. Lien externe
Bosco, M., Cavoto, P., Ungolo, A., Muse, B. A., Khomh, F., Nardone, V., & Di Penta, M. UnityLint: A Bad Smell Detector for Unity [Communication écrite]. 2023 IEEE/ACM 31st International Conference on Program Comprehension (ICPC 2023), Melbourne, Australia. Lien externe
Badran, K., Côté, P.-O., Kolopanis, A., Bouchoucha, R., Collante, A., Costa, D. E., Shihab, E., & Khomh, F. (2022). Can Ensembling Pre-processing Algorithms Lead to Better Machine Learning Fairness? [Ensemble de données]. Lien externe
Ben Braiek, H., Reid, T., & Khomh, F. (2022). Physics-guided adversarial machine learning for aircraft systems simulation. IEEE Transactions on Reliability, 72(3), 1161-1175. Lien externe
Ben Braiek, H., Tfaily, A., Khomh, F., Reid, T., & Guida, C. (octobre 2022). SmOOD: Smoothness-based Out-of-Distribution Detection Approach for Surrogate Neural Networks in Aircraft Design [Communication écrite]. 37th IEEE/ACM International Conference on Automated Software Engineering (ASE 2022), Rochester, MI, USA (13 pages). Lien externe
Barrak, A., Eghan, E. E., Adams, B., & Khomh, F. (2021). Why do builds fail? A conceptual replication study. Journal of Systems and Software, 177, 15 pages. Lien externe
Barbez, A., Khomh, F., & Guéhéneuc, Y.-G. (2020). A machine-learning based ensemble method for anti-patterns detection. Journal of Systems and Software, 161, 11 pages. Lien externe
Ben Braiek, H., & Khomh, F. (2020). On testing machine learning programs. Journal of Systems and Software, 164, 110542 (18 pages). Lien externe
Berhe, S., Maynard, M., & Khomh, F. (avril 2020). Software Release Patterns When is it a good time to update a software component? [Communication écrite]. 11th International Conference on Ambient Systems, Networks and Technologies (ANT 2020) and 3rd International Conference on Emerging Data and Industry 4.0 (EDI40 2020), Warsaw, Poland. Publié dans Procedia Computer Science, 170. Lien externe
Barbez, A., Khomh, F., & Guéhéneuc, Y.-G. (septembre 2019). Deep Learning Anti-Patterns from Code Metrics History [Communication écrite]. IEEE International Conference on Software Maintenance and Evolution, (ICSME 2019), Cleveland, OH, United states. Lien externe
Ben Braiek, H., & Khomh, F. (septembre 2019). DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks [Communication écrite]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2019), Cleveland, OH, United states. Lien externe
Businge, J., Openja, M., Kavaler, D., Bainomugisha, E., Khomh, F., & Filkov, V. (février 2019). Studying Android App Popularity by Cross-Linking GitHub and Google Play Store [Communication écrite]. 26th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2019), Hangzhou, China. Lien externe
Ben Braiek, H., & Khomh, F. (juillet 2019). TFCheck : A TensorFlow Library for Detecting Training Issues in Neural Network Programs [Communication écrite]. 19th IEEE International Conference on Software Quality, Reliability and Security (QRS 2019), Sofia, Bulgaria. Lien externe
Barbour, L., An, L., Khomh, F., Zou, Y., & Wang, S. (2018). An investigation of the fault-proneness of clone evolutionary patterns. Software Quality Journal, 26(4), 1187-1222. Lien externe
Barrak, A., Laverdière, M.-A., Khomh, F., An, L., & Merlo, E. (octobre 2018). Just-in-time Detection of Protection-Impacting Changes on WordPress and MediaWiki [Communication écrite]. 28th Annual International Conference on Computer Science and Software Engineering (CASCON 2018), Toronto, Canada. Non disponible
Ben Braiek, H., Khomh, F., & Adams, B. (mai 2018). The open-closed principle of modern machine learning frameworks [Communication écrite]. 15th International Conference on Mining Software Repositories (MSR 2018), Gothenburg, Sweden. Lien externe
Businge, J., Kawuma, S., Bainomugisha, E., Khomh, F., & Nabaasa, E. (novembre 2017). Code authorship and fault-proneness of open-source Android applications: An empirical study [Communication écrite]. 13th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2017), Toronto, Canada. Lien externe
Bani, B., Khomh, F., & Guéhéneuc, Y.-G. (octobre 2016). A Study of the Energy Consumption of Databases and Cloud Patterns [Communication écrite]. 14th International Conference on Service-Oriented Computing (ICSOC 2016), Banff, Canada. Lien externe
Barbour, L., Khomh, F., & Zou, Y. (2013). An empirical study of faults in late propagation clone genealogies. Journal of Software: Evolution and Process, 25(11), 1139-1165. Lien externe
Barbour, L., Khomh, F., & Zou, Y. (septembre 2011). Late propagation in software clones [Communication écrite]. IEEE International Conference on Software Maintenance (ICSM 2011), Williamsburg, VA, USA. Lien externe
Côté, P.-O., Nikanjam, A., Ahmed, N., Humeniuk, D., & Khomh, F. (2024). Data cleaning and machine learning: a systematic literature review. Automated Software Engineering, 31(2), 54 (75 pages). Lien externe
Côté, P.-O., Nikanjam, A., Bouchoucha, R., Basta, I., Abidi, M., & Khomh, F. (2024). Quality issues in machine learning software systems. Empirical Software Engineering, 29(6), 149 (47 pages). Lien externe
Chembakottu, B., Li, H., & Khomh, F. (2023). A large-scale exploratory study of android sports apps in the google play store. Information and Software Technology, 164, 107321 (18 pages). Lien externe
Castelluccio, M., An, L., & Khomh, F. (2018). An empirical study of patch uplift in rapid release development pipelines. Empirical Software Engineering, 24(5), 3008-3044. Lien externe
Castelluccio, M., An, L., & Khomh, F. (septembre 2017). Is it safe to uplift this patch? : An empirical study on Mozilla Firefox [Communication écrite]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2017), Shanghai, China. Lien externe
Dakhel, A. M., Nikanjam, A., Majdinasab, V., Khomh, F., & Desmarais, M. C. (2024). Effective test generation using pre-trained Large Language Models and mutation testing. Information and Software Technology, 171, 107468 (17 pages). Lien externe
Dakhel, A. M., Nikanjam, A., Khomh, F., Desmarais, M. C., & Washizaki, H. (2024). Generative AI for Software Development: A Family of Studies on Code Generation. Dans Generative AI for Effective Software Development (p. 151-172). Lien externe
Dakhel, A. M., Nikanjam, A., Khomh, F., Desmarais, M. C., & Washizaki, H. (2024). An Overview on Large Language Models. Dans Generative AI for Effective Software Development (p. 3-21). Lien externe
Dakhel, A. M., Desmarais, M. C., & Khomh, F. (2023). Dev2vec: Representing domain expertise of developers in an embedding space. Information and Software Technology, 159, 12 pages. Lien externe
Dakhel, A. M., Majdinasab, V., Nikanjam, A., Khomh, F., Desmarais, M. C., & Jiang, Z. M. (2023). GitHub Copilot AI pair programmer: Asset or Liability? Journal of Systems and Software, 203, 111734 (23 pages). Lien externe
Dakhel, A. M., Desmarais, M. C., & Khomh, F. (2022). Dev2vec: Representing Domain Expertise of Developers in an Embedding Space [Ensemble de données]. Lien externe
Dhaliwal, T., Khomh, F., Zou, Y., & Hassan, A. E. (septembre 2012). Recovering commit dependencies for selective code integration in software product lines [Communication écrite]. 28th IEEE International Conference on Software Maintenance (ICSM 2012), Trento, Italy. Lien externe
Dhaliwal, T., Khomh, F., & Zou, Y. (septembre 2011). Classifying field crash reports for fixing bugs: A case study of Mozilla Firefox [Communication écrite]. IEEE International Conference on Software Maintenance (ICSM 2011), Williamsburg, VA, USA. Lien externe
Denier, S., Khomh, F., & Guéhéneuc, Y.-G. (2008). Reverse-engineering the literature on design patterns and reverse-engineering. (Rapport technique n° EPM-RT-2008-09). Disponible
Ehsan, O., Khomh, F., Zou, Y., & Qiu, D. (2023). Ranking code clones to support maintenance activities. Empirical Software Engineering, 28(3), 38 pages. Lien externe
Ehsan, O., Barbour, L., Khomh, F., & Zou, Y. (2021). Is Late Propagation a Harmful Code Clone Evolutionary Pattern? An Empirical Study. Dans Inoue, K., & Roy, C. K. (édit.), Code Clone Analysis : Research, Tools, and Practice . Lien externe
El aoun, M. R., Li, H., Khomh, F., & Openja, M. (septembre 2021). Understanding Quantum Software Engineering Challenges An Empirical Study on Stack Exchange Forums and GitHub Issues [Communication écrite]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2021), Luxembourg, Netherlands. Lien externe
Foalem, P. L., Khomh, F., & Li, H. (2024). Studying logging practice in machine learning-based applications. Information and Software Technology, 170, 107450 (17 pages). Lien externe
Firouzi, E., Sami, A., Khomh, F., & Uddin, G. (octobre 2020). On the use of C# Unsafe Code Context: An Empirical Study of Stack Overflow [Communication écrite]. 14th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2020), Bari, Italy (6 pages). Lien externe
Fakhoury, S., Arnaoudova, V., Noiseux, C., Khomh, F., & Antoniol, G. (mars 2018). Keep it simple: Is deep learning good for linguistic smell detection? [Communication écrite]. 25th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2018), Campobasso, Italy. Lien externe
Gorton, I., Khomh, F., Lenarduzzi, V., Menghi, C., & Roman, D. (2023). Software Architectures for AI Systems: State of Practice and Challenges. Dans Pelliccione, P., Kazman, R., Weber, I., & Liu, A. (édit.), Software Architecture (p. 25-39). Lien externe
Guéhéneuc, Y.-G., & Khomh, F. (2019). Empirical Software Engineering. Dans Cha, S., Taylor, R. N., & Kang, K. C. (édit.), Handbook of Software Engineering (p. 285-320). Lien externe
Grichi, M., Abidi, M., Guéhéneuc, Y.-G., & Khomh, F. (novembre 2019). State of practices of Java native interface [Communication écrite]. 29th Annual International Conference on Computer Science and Software Engineering (CASCON 2019), Toronto, Ontario, Canada. Lien externe
Ghrairi, N., Kpodjedo, S., Barrak, A., Petrillo, F., & Khomh, F. (juillet 2018). The state of practice on virtual reality (VR) applications: an exploratory study on github and stack overflow [Communication écrite]. IEEE International Conference on Software Quality, Reliability and Security (QRS 2018), Lisbon, Portugal. Lien externe
Guerrouj, L., Kermansaravi, Z., Arnaoudova, V., Fung, B. C. M., Khomh, F., Antoniol, G., & Guéhéneuc, Y.-G. (2017). Investigating the relation between lexical smells and change- and fault-proneness: an empirical study. Software Quality Journal, 25(3), 641-670. Lien externe
Guerrouj, L., Baysal, O., Lo, D., & Khomh, F. (mai 2016). Software analytics: challenges and opportunities [Communication écrite]. 38th International Conference on Software Engineering Companion (ICSE 2016), Austin, TX. Lien externe
Humeniuk, D., Braiek, H. B., Reid, T., & Khomh, F. (2024). In-Simulation Testing of Deep Learning Vision Models in Autonomous Robotic Manipulators. Lien externe
Humeniuk, D., Khomh, F., & Antoniol, G. (2024). Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing. ACM Transactions on Software Engineering and Methodology. Lien externe
Humeniuk, D., & Khomh, F. (avril 2024). AmbieGenVAE at the SBFT 2024 Tool Competition - Cyber-Physical Systems Track [Communication écrite]. 17th ACM/IEEE International Workshop on Search-Based and Fuzz Testing, Lisbon, Portugal. Lien externe
Humeniuk, D., & Khomh, F. (avril 2024). AmbieGen at the SBFT 2024 Tool Competition-CPS-UAV Track [Communication écrite]. 17th International Workshop on Search-Based and Fuzz Testing (SBFT 2024), Lisbon, Portugal. Lien externe
Humeniuk, D., Khomh, F., & Antoniol, G. (2023). AmbieGen: A search-based framework for autonomous systems testing. Science of Computer Programming, 230, 102990 (10 pages). Lien externe
Hooshyar, H., Guerra, E., Melegati, J., Khanna, D., Aldaeej, A., Matturro, G., Zaina, L., Greer, D., Rafiq, U., Chanin, R., Wang, X., Garbajosa, J., Abrahamsson, P., Khomh, F., & Nguyen-Duc, A. (2023). Impact in Software Engineering Activities After One Year of COVID-19 Restrictions for Startups and Established Companies. IEEE Access, 11, 55178-55203. Lien externe
Humeniuk, D., Khomh, F., & Antoniol, G. RIGAA at the SBFT 2023 Tool Competition - Cyber-Physical Systems Track [Communication écrite]. 2023 IEEE/ACM International Workshop on Search-Based and Fuzz Testing (SBFT 2023), Melbourne, Australia. Lien externe
Hooshyar, H., Guerra, E., Melegati, J., Khanna, D., Aldaeej, A., Matturro, G., Zaina, L., Greer, D., Chanin, R., Wang, X., Garbajosa, J., Abrahamsson, P., Khomh, F., & Nguyen-Duc, A. (2023). Supplemental package of a study on the impacts of Covid-19 on software startups and established companies [Ensemble de données]. Lien externe
Humeniuk, D., Antoniol, G., & Khomh, F. (mai 2022). ***AmbieGen tool at the SBST 2022 Tool Competition [Communication écrite]. 15th Search-Based Software Testing Workshop (SBST 2022). Lien externe
Humeniuk, D., Khomh, F., & Antoniol, G. (2022). A search-based framework for automatic generation of testing environments for cyber-physical systems. Information and Software Technology, 149, 106936 (17 pages). Lien externe
Humeniuk, D., Antoniol, G., & Khomh, F. (mai 2021). Data Driven Testing of Cyber Physical Systems [Communication écrite]. 14th IEEE/ACM International Workshop on Search-Based Software Testing (SBST 2021), Madrid, Spain. Lien externe
Humeniuk, D., Antoniol, G., & Khomh, F. (mai 2021). SWAT tool at the SBST 2021 Tool Competition [Communication écrite]. 14th IEEE/ACM International Workshop on Search-Based Software Testing (SBST 2021), Madrid, Spain. Lien externe
Hamidi, A., Antoniol, G., Khomh, F., Penta, M. D., & Hamidi, M. (septembre 2021). Towards Understanding Developers' Machine-Learning Challenges: A Multi-Language Study on Stack Overflow [Communication écrite]. 21st IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2021), Luxembourg City, Luxembourg. Lien externe
Hecht, G., Jose-Scheidt, B., De Figueiredo, C., Moha, N., & Khomh, F. (décembre 2014). An Empirical Study of the Impact of Cloud Patterns on Quality of Service (QoS) [Communication écrite]. 6th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2014), Singapore. Lien externe
Hassaine, S., Khomh, F., Guéhéneuc, Y.-G., & Hamel, S. (septembre 2010). IDS: An Immune-inspired Approach for the Detection of Software Design Smells [Communication écrite]. 7th International Conference on the Quality of Information and Communications Technology (QUATIC 2010), Porto. Lien externe
Haderer, N., Khomh, F., & Antoniol, G. (septembre 2010). SQUANER: A framework for monitoring the quality of software systems [Communication écrite]. 26th IEEE International Conference on Software Maintenance (ICSM 2010), Timisoara, Romania (4 pages). Lien externe
Ikama, A., Du, V., Belias, P., Muse, B. A., Khomh, F., & Hamdaqa, M. (octobre 2022). Revisiting the Impact of Anti-patterns on Fault-Proneness: A Differentiated Replication [Communication écrite]. 22nd IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2022), Limassol, Cyprus. Lien externe
Infantes, R. S., Beltrame, G., Khomh, F., Alba, E., & Antoniol, G. (mars 2016). Optimizing user experience in choosing Android applications [Communication écrite]. 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016), Osaka, Japan. Lien externe
Jamshidi, S., Amirnia, A., Nikanjam, A., & Khomh, F. (avril 2024). Enhancing Security and Energy Efficiency of Cyber-Physical Systems using Deep Reinforcement Learning [Communication écrite]. 15th International Conference on Ambient Systems, Networks and Technologies Networks (ANT 2024) / The 7th International Conference on Emerging Data and Industry 4.0 (EDI40 2024), Hasselt, Belgium. Publié dans Procedia Computer Science, 238. Lien externe
Jamshidi, S., Nikanjam, A., Hamdaqa, M. A., & Khomh, F. (2023). Attack Detection by Using Deep Learning for Cyber-Physical System. Dans Artificial Intelligence for Cyber-Physical Systems Hardening (Vol. 2, p. 155-179). Lien externe
Jebnoun, H., Rahman, M. S., Khomh, F., & Muse, B. A. (2022). Clones in deep learning code: what, where, and why? Empirical Software Engineering, 27(4). Lien externe
Jebnoun, H., Ben Braiek, H., Rahman, M. M., & Khomh, F. (juin 2020). The scent of deep learning code : an empirical study [Communication écrite]. 17th International Conference on Mining Software Repositories (MSR 2020), Seoul, Republic of Korea. Lien externe
Johannes, D., Khomh, F., & Antoniol, G. (2019). A large-scale empirical study of code smells in JavaScript projects. Software Quality Journal, 27(3), 1271-1314. Lien externe
Jaafar, F., Guéhéneuc, Y.-G., Hamel, S., Khomh, F., & Zulkernine, M. (2015). Evaluating the impact of design pattern and anti-pattern dependencies on changes and faults. Empirical Software Engineering, 21(3), 896-931. Lien externe
Jaafar, F., Khomh, F., Guéhéneuc, Y.-G., & Zulkernine, M. (octobre 2014). Anti-pattern Mutations and Fault-proneness [Communication écrite]. 14th International Conference on Quality Software (QSIC 2014), Dallas, Texas. Lien externe
Jiang, Y., Adams, B., Khomh, F., & German, D. M. (septembre 2014). Tracing back the history of commits in low-tech reviewing environments: a case study of the Linux kernel [Communication écrite]. 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2014), Torino, Italy (10 pages). Lien externe
Jaafar, F., Guéhéneuc, Y.-G., Hamel, S., & Khomh, F. (mars 2013). Analysing Anti-patterns Static Relationships with Design Patterns [Communication écrite]. First Workshop on Patterns Promotion and Anti-patterns Prevention (PPAP 2013), Genova, Italy (26 pages). Publié dans Electronic Communications of the EASST, 59. Lien externe
Jaafar, F., Guéhéneuc, Y.-G., Hamel, S., & Khomh, F. (octobre 2013). Mining the relationship between anti-patterns dependencies and fault-proneness [Communication écrite]. 20th Working Conference on Reverse Engineering (WCRE 2013), Koblenz, Germany. Lien externe
Kouemo Ngassom, S., Moradi Dakhel, A., Tambon, F., & Khomh, F. (juillet 2024). Chain of Targeted Verification Questions to Improve the Reliability of Code Generated by LLMs [Communication écrite]. 1st ACM International Conference on AI-Powered Software (ALWARE 2024), Porto de Galinhas, Brazil. Lien externe
Khomh, F., & Jahangirova, G. (2024). Search-based Software Engineering. Lien externe
Khomh, F., Rahman, M. M., & Barbez, A. (2023). Intelligent Software Maintenance. Dans Romero, J. R., Medina-Bulo, I., & Chicano, F. (édit.), Optimising the Software Development Process with Artificial Intelligence (p. 241-275). Lien externe
Khomh, F. (décembre 2023). Harnessing Predictive Modeling and Software Analytics in the Age of LLM-Powered Software Development [Résumé]. 19th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2023), San Francisco, CA, USA (1 page). Lien externe
Khomh, F. (novembre 2022). Data quality and model under-specification issues (keynote) [Communication écrite]. 2nd International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things (SEA4DQ 2022), Singapore (2 pages). Lien externe
Kermansaravi, Z., Rahman, S., Khomh, F., Jaafar, F., & Guéhéneuc, Y.-G. (mai 2021). Investigating design anti-pattern and design pattern mutation and their change- and fault-proneness [Communication écrite]. 43rd IEEE/ACM International Conference on Software Engineering (41 pages). Non disponible
Kermansaravi, Z. A., Rahman, M. S., Khomh, F., Jaafar, F., & Guéhéneuc, Y.-G. (2021). Investigating design anti-pattern and design pattern mutations and their change- and fault-proneness. Empirical Software Engineering, 26(1), 47 pages. Lien externe
Khomh, F., & Guéhéneuc, Y.-G. (mars 2018). Design patterns impact on software quality: Where are the theories? [Communication écrite]. 25th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2018), Campobasso, Italy. Lien externe
Khomh, F., Adams, B., Cheng, J., Fokaefs, M.-E., & Antoniol, G. (2018). Software Engineering for Machine-Learning Applications: The Road Ahead. IEEE Software, 35(5), 81-84. Lien externe
Khomh, F., & Abtahizadeh, S. A. (2018). Understanding the impact of cloud patterns on performance and energy consumption. Journal of Systems and Software, 141, 151-170. Lien externe
Khomh, F., Lo, D., & Godfrey, M. W. (2017). Guest Editor's Introduction to the Special Issue on Source Code Analysis and Manipulation (SCAM 2015). Journal of Software: Evolution and Process, 29(12), 2 pages. Lien externe
Karasneh, B., Chaudron, M. R. V., Khomh, F., & Guéhéneuc, Y.-G. (mars 2016). Studying the relation between anti-patterns in design models and in source code [Communication écrite]. 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016), Suita, Japan. Lien externe
Khomh, F., Adams, B., Dhaliwal, T., & Zou, Y. (2015). Understanding the impact of rapid releases on software quality : the case of Firefox. Empirical Software Engineering, 20(2), 336-373. Lien externe
Kerzazi, N., & Khomh, F. (septembre 2014). Factors impacting rapid releases: An industrial case study [Communication écrite]. 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2014), Torino, Italy (8 pages). Lien externe
Kerzazi, N., & Khomh, F. (avril 2014). Factors impacting software release engineering: a longitudinal study [Communication écrite]. 2nd International Workshop on Release Engineering (RELENG 2014), Mountain View, CA (5 pages). Lien externe
Khomh, F., Guéhéneuc, Y.-G., Antoniol, G., & Di Penta, M. (2014). Modèles de qualité et conception des programmes. Dans Évolution et maintenance des systèmes logiciels . Lien externe
Khomh, F. (avril 2014). On improving the dependability of cloud applications with fault-tolerance [Communication écrite]. IEEE/IFIP Conference on Software Architecture (WICSA 2014), Sydney, NSW, Australia (3 pages). Lien externe
Kerzazi, N., Khomh, F., & Adams, B. (septembre 2014). Why Do Automated Builds Break? An Empirical Study [Communication écrite]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2014), Victoria, BC, Canada. Lien externe
Khomh, F., Yuan, H., & Zou, Y. (septembre 2012). Adapting Linux for mobile platforms : an empirical study of Android [Communication écrite]. 28th IEEE International Conference on Software Maintenance (ICSM 2012), Trento, Italy. Lien externe
Khomh, F., Dhaliwal, T., Zou, Y., & Adams, B. (juin 2012). Do Faster Releases Improve Software Quality? An Empirical Case Study of Mozilla Firefox [Communication écrite]. 9th IEEE Working Conference on Mining Software Repositories (MSR 2012), Zurich, Switzerland. Lien externe
Khomh, F., Di Penta, M., Guéhéneuc, Y.-G., & Antoniol, G. (2012). An Exploratory Study of the Impact of Antipatterns on Class Change- and Fault-Proneness. Empirical Software Engineering, 17(3), 243-275. Lien externe
Khomh, F., Vaucher, S., Guéhéneuc, Y.-G., & Sahraoui, H. (2011). BDTEX: A GQM-based Bayesian approach for the detection of antipatterns. Journal of Systems and Software, 84(4), 559-572. Lien externe
Khomh, F., Chan, B., Zou, Y., & Hassan, A. E. (octobre 2011). An Entropy Evaluation Approach for Triaging Field Crashes: A Case Study of Mozilla Firefox [Communication écrite]. Working Conference on Reverse Engineering (WCRE 2011), Limerick, Ireland. Lien externe
Khomh, F., Chan, B., Zou, Y., Sinha, A., & Dietz, D. (septembre 2011). Predicting post-release defects using pre-release field testing results [Communication écrite]. IEEE International Conference on Software Maintenance (ICSM 2011), Williamsburg, VA, USA. Lien externe
Khomh, F., Moha, N., & Guéhéneuc, Y.-G. (2009). DEQUALITE : méthode de construction de modèles de qualité prenant en compte la conception des systèmes. (Rapport technique n° EPM-RT-2009-04). Disponible
Khomh, F., Di Penta, M., Guéhéneuc, Y.-G., & Antoniol, G. (2009). An exploratory study of the impact of software changeability. (Rapport technique n° EPM-RT-2009-02). Disponible
Khomh, F., Guéhéneuc, Y.-G., & Antoniol, G. (2009). Playing roles in design patterns: an empirical descriptive and analytic study. (Rapport technique n° EPM-RT-2009-03). Disponible
Khomh, F., Vaucher, S., Guéhéneuc, Y.-G., & Sahraoui, H. (août 2009). A Bayesian approach for the detection of code and design smells [Communication écrite]. 9th International Conference on Quality Software (QSIC 2009), Jeju, South Korea. Lien externe
Khomh, F., Guéhéneuc, Y.-G., & Antoniol, G. (2009). An empirical descriptive and analytic study of playing roles in design patterns. (Rapport technique n° EPM-RT-2009-03). Non disponible
Khomh, F., Di Penta, M., & Guéhéneuc, Y.-G. (octobre 2009). An exploratory study of the impact of code smells on software change-proneness [Communication écrite]. 16th Working Conference on Reverse Engineering (WCRE 2009), Lille, France. Lien externe
Khomh, F., Di Penta, M., & Guéhéneuc, Y.-G. (2009). An exploratory study of the impact of code smells on software change-proneness. (Rapport technique). Non disponible
Khomh, F., Guéhéneuc, Y.-G., & Antoniol, G. (septembre 2009). Playing roles in design patterns: an empirical descriptive and analytic study [Communication écrite]. IEEE International Conference on Software Maintenance (ICSM 2009), Edmonton, Alberta, Canada. Lien externe
Khomh, F. (octobre 2009). SQUAD: Software Quality Understanding through the Analysis of Design [Communication écrite]. 16th Working Conference on Reverse Engineering (WCRE 2009), Lille, France. Lien externe
Khomh, F., & Guéhéneuc, Y.-G. (octobre 2008). DEQUALITE: building design-based software quality models [Communication écrite]. 15th Conference on Pattern Languages of Programs (PLoP 2008), Nashville, TN (7 pages). Lien externe
Khomh, F., & Guéhéneuc, Y.-G. (avril 2008). Do design patterns impact software quality positively? [Communication écrite]. 12th European Conference on Software Maintenance and Reengineering (CSMR 2008), Athens, Greece. Lien externe
Khomh, F., & Guéhéneuc, Y.-G. (2008). An empirical study of design patterns and software quality. (Rapport technique n° 1315). Non disponible
Khomh, F., & Guéhéneuc, Y.-G. (juillet 2007). Perception and reality: what are design patterns good for? [Communication écrite]. 11th ECOOP Workshop on Quantitative Approaches in Object-Oriented Software Engineering (QAOOSE 2007), Berlin, Germany (7 pages). Lien externe
Laberge, G., Pequignot, Y., Marchand, M., & Khomh, F. (mai 2024). Tackling the XAI Disagreement Problem with Regional Explanations [Communication écrite]. 27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024), Valencia, Spain. Lien externe
Laberge, G., Pequignot, Y., Mathieu, A., Khomh, F., & Marchand, M. (2023). Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon Set. Journal of Machine Learning Research, 24(364), 50 pages. Lien externe
Le, A., Khomh, F., McIntosh, S., & Castelluccio, M. (décembre 2018). Why Did This Reviewed Code Crash? An Empirical Study of Mozilla Firefox [Communication écrite]. 25th Asia-Pacific Software Engineering Conference (APSEC 2018), Nara, Japan (10 pages). Lien externe
Le, A., & Khomh, F. (mars 2015). Challenges and Issues of Mining Crash Reports [Communication écrite]. IEEE 1st International Workshop on Software Analytics (SWAN 2015), Montréal, Québec. Lien externe
Lavoie, T., Khomh, F., Merlo, E., & Zou, Y. (octobre 2012). Inferring repository file structure modifications using nearest-neighbor clone detection [Communication écrite]. 19th Working Conference on Reverse Engineering (WCRE 2012), Kingston, ON, Canada. Lien externe
Majdinasab, V., Nikanjam, A., & Khomh, F. (2024). Trained Without My Consent: Detecting Code Inclusion In Language Models Trained on Code. ACM Transactions on Software Engineering and Methodology. Lien externe
Mazloomzadeh, I., Uddin, G., Khomh, F., & Sami, A. (2024). Reputation Gaming in Crowd Technical Knowledge Sharing. ACM Transactions on Software Engineering and Methodology. Lien externe
Mahu, A., Singh, A., Tambon, F., Ouellette, B., Delisle, J.-, Paul, T., Khomh, F., Marois, A., & Doyon-Poulin, P. (2024). Validation of Vigilance Decline Capability in A Simulated Test Environment: A Preliminary Step Towards Neuroadaptive Control. AHFE international, 126, 45-59. Lien externe
Majdinasab, V., Bishop, M. J., Rasheed, S., Moradidakhel, A., Tahir, A., & Khomh, F. (mars 2024). Assessing the Security of GitHub Copilot's Generated Code - A Targeted Replication Study [Communication écrite]. 2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2024), Rovaniemi, Finland. Lien externe
Morovati, M. M., Nikanjam, A., Tambon, F., Khomh, F., & Jiang, Z. M. (2024). Bug characterization in machine learning-based systems. Empirical Software Engineering, 29(1), 14 (29 pages). Lien externe
Morovati, M. M., Tambon, F., Taraghi, M., Nikanjam, A., & Khomh, F. (2024). Common challenges of deep reinforcement learning applications development: an empirical study. Empirical Software Engineering, 29, 95 (33 pages). Lien externe
Muse, B. A., Nafi, K. W., Khomh, F., & Antoniol, G. (2024). Data-access performance anti-patterns in data-intensive systems. Empirical Software Engineering, 29, 144 (35 pages). Lien externe
Mindom, P. S. N., Nikanjam, A., & Khomh, F. (2024). Harnessing pre-trained generalist agents for software engineering tasks. Empirical Software Engineering, 30(1). Lien externe
Morovati, M. M., Nikanjam, A., Khomh, F., & Jiang, Z. M. (2023). Bugs in machine learning-based systems: a faultload benchmark. Empirical Software Engineering, 28(3), 33 pages. Lien externe
Morovati, M. M., Nikanjam, A., Khomh, F., & Jiang, Z. M. (2023). Bugs in machine learning-based systems: a faultload benchmark [Ensemble de données]. Lien externe
Muse, B. A., Khomh, F., & Antoniol, G. (2023). Refactoring practices in the context of data-intensive systems. Empirical Software Engineering, 28(2), 46 (66 pages). Lien externe
Muse, B. A., Khomh, F., & Antoniol, G. (mars 2022). Do developers refactor data access code? An empirical study [Communication écrite]. IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2022), Honolulu, HI, USA. Lien externe
Majidi, F., Openja, M., Khomh, F., & Li, H. (octobre 2022). An Empirical Study on the Usage of Automated Machine Learning Tools [Communication écrite]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2022), Limassol, Cyprus. Lien externe
Muse, B. A., Nagy, C., Cleve, A., Khomh, F., & Antoniol, G. (2022). FIXME: synchronize with database! An empirical study of data access self-admitted technical debt. Empirical Software Engineering, 27(6), 42 pages. Lien externe
Marhaba, M., Merlo, E., Khomh, F., & Antoniol, G. (mai 2022). Identification of out-of-distribution cases of CNN using class-based surprise adequacy [Communication écrite]. IEEE/ACM 1st International Conference on AI Engineering - Software Engineering for AI (CAIN 2022), Pittsburgh, PA, USA. Lien externe
Moradi Dakhel, A., Desmarais, M. C., & Khomh, F. (juin 2021). Assessing developer expertise from the statistical distribution of programming syntax patterns [Communication écrite]. 25th Evaluation and Assessment in Software Engineering Conference (EASE 2021). Lien externe
Mindom, P. S. N., Nikanjam, A., Khomh, F., & Mullins, J. (décembre 2021). On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods [Communication écrite]. 21st International Conference on Software Quality, Reliability and Security (QRS 2021), Hainan, China. Lien externe
Muse, B. A., Rahman, M. M., Nagy, C., Cleve, A., Khomh, F., & Antoniol, G. (juin 2020). On the prevalence, impact and evolution of SQL Code smells in data-intensive systems [Communication écrite]. 17th International Conference on Mining Software Repositories (MSR 2020), Seoul, Republic of Korea. Lien externe
Morales, R., Khomh, F., & Antoniol, G. (2020). RePOR: Mimicking humans on refactoring tasks. Are we there yet? Empirical Software Engineering, 25(4), 2960-2996. Lien externe
Morales, R., Saborido, R., Khomh, F., Chicano, F., & Antoniol, G. (2018). EARMO: An Energy-Aware Refactoring Approach for Mobile Apps. IEEE Transactions on Software Engineering, 44(12), 1176-1206. Lien externe
Morales, R., Saborido, R., Khomh, F., Chicano, F., & Antoniol, G. (mai 2018). EARMO: An energy-aware refactoring approach for mobile apps [Résumé]. 40th IEEE/ACM International Conference on Software Engineering (ICSE 2018), Gothenburg, Sweden (1 page). Lien externe
Morales, R., Chicano, F., Khomh, F., & Antoniol, G. (2018). Efficient refactoring scheduling based on partial order reduction. Journal of Systems and Software, 145, 25-51. Lien externe
Morales, R., Chicano, F., Khomh, F., & Antoniol, G. (2018). Exact search-space size for the refactoring scheduling problem. Automated Software Engineering, 25(2), 195-200. Lien externe
Morales, R., Soh, Z., Khomh, F., Antoniol, G., & Chicano, F. (2017). On the use of developers' context for automatic refactoring of software anti-patterns. Journal of Systems and Software, 128, 236-251. Lien externe
Musavi, P., Adams, B., & Khomh, F. (octobre 2016). Experience Report: An Empirical Study of API Failures in OpenStack Cloud Environments [Communication écrite]. 27th IEEE International Symposium on Software Reliability Engineering (ISSRE 2016), Ottawa, Ontario. Lien externe
Morales, R., Sabané, A., Musavi, P., Khomh, F., Chicano, F., & Antoniol, G. (mars 2016). Finding the best compromise between design quality and testing effort during refactoring [Communication écrite]. 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016), Osaka, Japan. Lien externe
Mlouki, O., Khomh, F., & Antoniol, G. (mars 2016). On the detection of licenses violations in android ecosystem [Communication écrite]. 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016), Osaka, Japan. Lien externe
Morales, R., McIntosh, S., & Khomh, F. (mars 2015). Do code review practices impact design quality? A case study of the Qt, VTK, and ITK projects [Communication écrite]. 22nd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2015), Montréal, Québec. Lien externe
Mäntylä, M. V., Adams, B., Khomh, F., Engström, E., & Petersen, K. (2015). On rapid releases and software testing: a case study and a semi-systematic literature review. Empirical Software Engineering, 20(5), 1384-1425. Lien externe
Mantyla, M. V., Khomh, F., Adams, B., Engstrom, E., & Petersen, K. (septembre 2013). On rapid releases and software testing [Communication écrite]. 29th IEEE International Conference on Software Maintenance (ICSM 2013), Eindhoven, Netherlands. Lien externe
Moha, N., Khomh, F., & Guéhéneuc, Y.-G. (mars 2008). Génération automatique d'algorithmes de détection des défauts de conception [Communication écrite]. 14e Colloque Langages et modèles à objets (LMO 2008) (13 pages). Non disponible
Nguyen-Duc, A., Abrahamsson, P., & Khomh, F. (2024). Generative AI for effictive software development. Lien externe
Nouwou Mindom, P. S., Nikanjam, A., & Khomh, F. (2023). A comparison of reinforcement learning frameworks for software testing tasks. Empirical Software Engineering, 28(5), 111 (76 pages). Lien externe
Nardone, V., Muse, B. A., Abidi, M., Khomh, F., & Di Penta, M. (2023). Video Game Bad Smells: What They Are and How Developers Perceive Them. ACM Transactions on Software Engineering and Methodology, 32(4), 1-35. Lien externe
Nikanjam, A., Ben Braiek, H., Morovati, M. M., & Khomh, F. (2022). Automatic Fault Detection for Deep Learning Programs Using Graph Transformations. ACM Transactions on Software Engineering and Methodology, 31(1), 1-27. Lien externe
Nikanjam, A., Morovati, M. M., Khomh, F., & Ben Braiek, H. (2022). Faults in deep reinforcement learning programs: a taxonomy and a detection approach. Automated Software Engineering, 29(1), 8 (32 pages). Lien externe
Nikanjam, A., & Khomh, F. (septembre 2021). Design Smells in Deep Learning Programs: An Empirical Study [Communication écrite]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2021), Luxembourg, Netherlands. Lien externe
Openja, M., Khomh, F., Foundjem, A., Jiang, Z. M., Abidi, M., & Hassan, A. E. (2024). An empirical study of testing machine learning in the wild. ACM Transactions on Software Engineering and Methodology. Lien externe
Oueslati, K., Laberge, G., Lamothe, M., & Khomh, F. (2024). Mining Action Rules for Defect Reduction Planning. Proceedings of the ACM on Software Engineering, 1(FSE), 2309-2331. Lien externe
Openja, M., Laberge, G., & Khomh, F. (2024). Detection and evaluation of bias-inducing features in machine learning. Empirical Software Engineering, 29(1), 71 pages. Lien externe
Openja, M., Nikanjam, A., Yahmed, A. H., Khomh, F., & Jiang, Z. M. J. (octobre 2022). An Empirical Study of Challenges in Converting Deep Learning Models [Communication écrite]. 39th IEEE International Conference on Software Maintenance and Evolution (ICSME 2022), Limassol, Cyprus. Lien externe
Openja, M., Majidi, F., Khomh, F., Chembakottu, B., & Li, H. (juin 2022). Studying the Practices of Deploying Machine Learning Projects on Docker [Communication écrite]. 26th ACM International Conference on Evaluation and Assessment in Software Engineering (EASE 2022), Gothenburg, Sweden. Lien externe
Openja, M., Morovati, M. M., An, L., Khomh, F., & Abidi, M. (2022). Technical debts and faults in open-source quantum software systems: An empirical study. Journal of Systems and Software, 193, 28 pages. Lien externe
Openja, M., Adams, B., & Khomh, F. (septembre 2020). Analysis of Modern Release Engineering Topics : – A Large-Scale Study using StackOverflow – [Communication écrite]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2020), Adelaide, Australia. Lien externe
Oliveto, R., Khomh, F., Antoniol, G., & Guéhéneuc, Y.-G. (mars 2010). Numerical signatures of antipatterns : an approach based on B-splines [Communication écrite]. 14th European Conference on Software Maintenance and Reengineering (CSMR 2010), Madrid, Spain. Lien externe
Pigeon, J., Khomh, F., Boudreault, R., Ashraf, A., & Maghoul, P. (avril 2024). LIBS-Raman Multimodal Architecture for Automated Lunar Prospecting [Communication écrite]. 19th Biennial International Conference on Engineering, Science, Construction, and Operations in Challenging Environments, Miami, Florida, USA. Lien externe
Pan, W., Washizaki, H., Yoshioka, N., Fukazawa, Y., Khomh, F., & Guéhéneuc, Y.-G. (décembre 2023). A Machine Learning Based Approach to Detect Machine Learning Design Patterns [Communication écrite]. 30th Asia-Pacific Software Engineering Conference (APSEC 2023), Seoul, Korea, Republic of Seoul. Lien externe
Pecorelli, F., Palomba, F., Khomh, F., & De Lucia, A. (juin 2020). Developer-driven code smell prioritization [Communication écrite]. 17th International Conference on Mining Software Repositories (MSR 2020), Seoul, Republic of Korea. Lien externe
Politowski, C., Khomh, F., Romano, S., Scanniello, G., Petrillo, F., Guéhéneuc, Y.-G., & Maiga, A. (2020). A large scale empirical study of the impact of Spaghetti Code and Blob anti-patterns on program comprehension. Information and Software Technology, 122, 14 pages. Lien externe
Politowski, C., Khomh, F., Romano, S., Scanniello, G., Petrillo, F., Guéhéneuc, Y.-G., & Maiga, A. (2020). A Large Scale Empirical Study of the Impact of Spaghetti Code and Blob Anti-patterns on Program Comprehension [Ensemble de données]. Lien externe
Petrillo, F., Guéhéneuc, Y.-G., Pimenta, M., Freitas, C. D. S., & Khomh, F. (2019). Swarm debugging: The collective intelligence on interactive debugging. Journal of Systems and Software, 153, 152-174. Lien externe
Petrillo, F., Mandian, H., Yamashita, A., Khomh, F., & Guéhéneuc, Y.-G. (juillet 2017). How do developers toggle breakpoints? Observational studies [Communication écrite]. IEEE International Conference on Software Quality, Reliability and Security (QRS 2017), Prague, Czech Republic. Lien externe
Petrillo, F., Soh, Z., Khomh, F., Pimenta, M., Freitas, C., & Guéhéneuc, Y.-G. (août 2016). Towards Understanding Interactive Debugging [Communication écrite]. IEEE International Conference on Software Quality, Reliability and Security (QRS 2016), Vienna, Austria. Lien externe
Petrillo, F., Soh, Z., Khomh, F., Pimenta, M., Freitas, C., & Guéhéneuc, Y.-G. (mai 2016). Understanding interactive debugging with swarm debug infrastructure [Communication écrite]. 24th IEEE International Conference on Program Comprehension (ICPC 2016), Austin, TX (4 pages). Lien externe
Palma, F., An, L., Khomh, F., Moha, N., & Guéhéneuc, Y.-G. (novembre 2014). Investigating the change-proneness of service patterns and antipatterns [Communication écrite]. 7th IEEE International Conference on Service-Oriented Computing and Applications (SOCA 2014), Matsue, Japan (8 pages). Lien externe
Qasse, I., Mishra, S., Jonsson, B. þ., Khomh, F., & Hamdaqa, M. (juillet 2023). Chat2Code: A Chatbot for Model Specification and Code Generation, The Case of Smart Contracts [Communication écrite]. IEEE International Conference on Software Services Engineering (SSE 2023), Chicago, IL, USA. Lien externe
Rezgui, J., Jobin, F., Kechout, Y., Turgeon, C., & Khomh, F. (mai 2024). Towards a reliable french speech recognition tool for an automated diagnosis of learning disabilities [Communication écrite]. 2024 International Conference on Smart Applications, Communications and Networking (SmartNets 2024), Harrisonburg, VA, USA (6 pages). Lien externe
Russo, D., Baltes, S., van Berkel, N., Avgeriou, P., Calefato, F., Cabrero-Daniel, B., Catolino, G., Cito, J., Ernst, N., Fritz, T., Hata, H., Holmes, R., Izadi, M., Khomh, F., Kjaergaard, M. B., Liebel, G., Lafuente, A. L., Lambiase, S., Maalej, W., ... Vasilescu, B. (2024). Generative AI in Software Engineering Must Be Human-Centered: The Copenhagen Manifesto. Journal of Systems and Software, 216, 112115 (2 pages). Lien externe
Rahman, M. S., Khomh, F., Hamidi, A., Cheng, J., Antoniol, G., & Washizaki, H. (2023). Machine learning application development: practitioners insights. Software Quality Journal, 55 pages. Lien externe
Rahman, M. S., Khomh, F., Rivera, E., Guéhéneuc, Y.-G., & Lehnert, B. (mai 2022). Challenges in machine learning application development : an industrial experience report [Communication écrite]. IEEE/ACM 1st International Workshop on Software Engineering for Responsible Artificial Intelligence (SE4RAI 2022), Pittsburgh, PA, USA. Lien externe
Ramkisoen, P. K., Businge, J., Van Bladel, B., Decan, A., Demeyer, S., De Roover, C., & Khomh, F. (novembre 2022). PaReco: patched clones and missed patches among the divergent variants of a software family [Communication écrite]. 30th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2022), Singapore, Singapore. Lien externe
Roy, S., Laberge, G., Roy, B., Khomh, F., Nikanjam, A., & Mondal, S. (octobre 2022). Why Don't XAI Techniques Agree? Characterizing the Disagreements Between Post-hoc Explanations of Defect Predictions [Communication écrite]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2022), Limassol, Cyprus. Lien externe
Rahman, M. M., Khomh, F., & Castelluccio, M. (2022). Works for me! Cannot reproduce: A large scale empirical study of non-reproducible bugs. Empirical Software Engineering, 27(5), 111 (45 pages). Lien externe
Rivera-Landos, E., Khomh, F., & Nikanjam, A. (décembre 2021). The Challenge of Reproducible ML: An Empirical Study on The Impact of Bugs [Communication écrite]. 21st International Conference on Software Quality, Reliability and Security (QRS 2021), Hainan, China. Lien externe
Rahman, M. M., Khomh, F., Yeasmin, S., & Roy, C. K. (2021). The forgotten role of search queries in IR-based bug localization: an empirical study. Empirical Software Engineering, 26(6), 116 (56 pages). Lien externe
Rahman, M. M., Khomh, F., & Castelluccio, M. (septembre 2020). Why are Some Bugs Non-Reproducible? : An Empirical Investigation using Data Fusion [Communication écrite]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2020). Lien externe
Romano, D., Raila, P., Pinzger, M., & Khomh, F. (octobre 2012). Analyzing the impact of antipatterns on change-proneness using fine-grainde source code changes [Communication écrite]. 19th Working Conference on Reverse Engineering (WCRE 2012), Kingston, ON, Canada. Lien externe
Shah, M. B., Rahman, M. M., & Khomh, F. (2024). Towards enhancing the reproducibility of deep learning bugs: an empirical study. Empirical Software Engineering, 30(1), -. Lien externe
Silva, R. F., Rahman, M. M., Dantas, C. E., Roy, C. K., Khomh, F., & Maia, M. A. (2021). "A Replication Package For The Paper ""Improved Retrieval of Programming Solutions with Code Examples Using a Multi-featured Score""" [Ensemble de données]. Lien externe
Soualhia, M., Khomh, F., & Tahar, S. (septembre 2021). Failure analysis of hadoop schedulers using an integration of model checking and simulation [Communication écrite]. 9th International Symposium on Symbolic Computation in Software Science (SCSS 2021). Lien externe
Silva, R. F., Rahman, M. M., Dantas, C. E., Roy, C., Khomh, F., & Maia, M. A. (2021). Improved retrieval of programming solutions with code examples using a multi-featured score. Journal of Systems and Software, 181, 14 pages. Lien externe
Soualhia, M., Khomh, F., & Tahar, S. (2020). A Dynamic and Failure-aware Task Scheduling Framework for Hadoop. IEEE Transactions on Cloud Computing, 8(2), 553-569. Lien externe
Soualhia, M., Fu, C., & Khomh, F. (novembre 2019). Infrastructure fault detection and prediction in edge cloud environments [Communication écrite]. 4th ACM/IEEE Symposium on Edge Computing (SEC 2019), Arlington, Virginia. Lien externe
Saborido, R., Khomh, F., Hindle, A., & Alba, E. (2018). An app performance optimization advisor for mobile device app marketplaces. Sustainable Computing: Informatics and Systems, 19, 29-42. Lien externe
Saborido, R., Morales, R., Khomh, F., Guéhéneuc, Y.-G., & Antoniol, G. (2018). Getting the most from map data structures in Android. Empirical Software Engineering, 23(5), 2829-2864. Lien externe
Soh, Z., Khomh, F., Guéhéneuc, Y.-G., & Antoniol, G. (2018). Noise in Mylyn interaction traces and its impact on developers and recommendation systems. Empirical Software Engineering Journal, 23(2), 645-692. Lien externe
Saborido, R., Khomh, F., Antoniol, G., & Guéhéneuc, Y.-G. (mai 2017). Comprehension of ads-supported and paid Android applications: Are they different? [Communication écrite]. 25th International Conference on Program Comprehension (ICPC 2017), Buenos Aires, Argentina. Lien externe
Saboury, A., Musavi, P., Khomh, F., & Antoniol, G. (février 2017). An empirical study of code smells in JavaScript projects [Communication écrite]. 24th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2017), Klagenfurt, Austria. Lien externe
Soualhia, M., Khomh, F., & Tahar, S. (2017). Task Scheduling in Big Data Platforms: A Systematic Literature Review. Journal of Systems and Software, 134(Supplement), 170-189. Lien externe
Saborido, R., Beltrame, G., Khomh, F., Alba, E., & Antoniol, G. (2016). Optimizing user experience in choosing android applications. (Rapport technique n° EPM-RT-2016-03). Disponible
Soh, Z., Yamashita, A., Khomh, F., & Guéhéneuc, Y.-G. (mars 2016). Do code smells impact the effort of different maintenance programming activities? [Communication écrite]. 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2106), Osaka, Japan. Lien externe
Soualhia, M., Khomh, F., & Tahar, S. (2015). ATLAS: a failure-aware scheduler for Hadoop. (Rapport technique). Lien externe
Soualhia, M., Khomh, F., & Tahar, S. (décembre 2015). ATLAS: an adaptive failure-aware scheduler for Hadoop [Communication écrite]. 34th IEEE International Performance Computing and Communications Conference (IPCCC 2015), Nanjing, China (8 pages). Lien externe
Soh, Z., Drioul, T., Rappe, P. A., Khomh, F., Guéhéneuc, Y.-G., & Habra, N. (octobre 2015). Noises in interaction traces data and their impact on previous research studies [Communication écrite]. ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2015), Beijing, China (10 pages). Lien externe
Soualhia, M., Khomh, F., & Tahar, S. (2015). Predicting Scheduling Failures in the Cloud. (Rapport technique). Lien externe
Soualhia, M., Khomh, F., & Tahar, S. (août 2015). Predicting scheduling failures in the cloud: A case study with google clusters and hadoop on Amazon EMR [Communication écrite]. 17th IEEE International Conference on High Performance Computing and Communications, IEEE 7th International Symposium on Cyberspace Safety and Security and IEEE 12th International Conference on Embedded Software and Systems (HPCC-ICESS-CSS 2015), New York, NY, United states. Lien externe
Shridhar, M., Adams, B., & Khomh, F. (septembre 2014). A qualitative analysis of software build system changes and build ownership styles [Communication écrite]. 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2014), Torino, Italy (10 pages). Lien externe
Soh, Z., Khomh, F., Guéhéneuc, Y.-G., Antoniol, G., & Adams, B. (octobre 2013). On the effect of program exploration on maintenance tasks [Communication écrite]. 20th Working Conference on Reverse Engineering (WCRE 2013), Koblenz, Germany. Lien externe
Soh, Z., Khomh, F., Guéhéneuc, Y.-G., & Antoniol, G. (octobre 2013). Towards understanding how developers spend their effort during maintenance activities [Communication écrite]. 20th Working Conference on Reverse Engineering (WCRE 2013), Koblenz, Germany. Lien externe
Tambon, F., Khomh, F., & Antoniol, G. (2024). <i>GIST</i> : Generated Inputs Sets Transferability in Deep Learning. ACM Transactions on Software Engineering and Methodology, -. Lien externe
Taraghi, M., Dorcelus, G., Foundjem, A., Tambon, F., & Khomh, F. (mars 2024). Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and Trends [Communication écrite]. 31st IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2024), Rovaniemi, Finland. Lien externe
Tambon, F., Nikanjam, A., An, L., Khomh, F., & Antoniol, G. (2024). Silent bugs in deep learning frameworks: an empirical study of Keras and TensorFlow. Empirical Software Engineering, 29(1), 10 (34 pages). Lien externe
Tambon, F., Majfinasab, V., Nikanjam, A., Khomh, F., & Antoniol, G. (avril 2023). Mutation testing of deep reinforcement learning based on real faults [Communication écrite]. 16th IEEE Conference on Software Testing, Verification and Validation (ICST 2023), Dublin, Ireland. Lien externe
Tambon, F., Khomh, F., & Antoniol, G. (2023). A probabilistic framework for mutation testing in deep neural networks. Information and Software Technology, 155, 107129 (13 pages). Lien externe
Tidjon, L. N., & Khomh, F. (2022). The different faces of AI ethics acrosse the world : a principle-to-pratice gap analysis. IEEE Transactions on Artificial Intelligence, 4(4), 820-839. Lien externe
Tambon, F., Laberge, G., An, L., Nikanjam, A., Mindom, P. S. N., Pequignot, Y., Khomh, F., Antoniol, G., Merlo, E., & Laviolette, F. (2022). How to certify machine learning based safety-critical systems? A systematic literature review. Automated Software Engineering, 29(2). Lien externe
Tambon, F., Khomh, F., & Antoniol, G. (2022). A Probabilistic Framework for Mutation Testing in Deep Neural Networks - Models archive Part 1 [Ensemble de données]. Lien externe
Tambon, F., Khomh, F., & Antoniol, G. (2022). A Probabilistic Framework for Mutation Testing in Deep Neural Networks - Models archive Part 2 [Ensemble de données]. Lien externe
Tambon, F., Khomh, F., & Antoniol, G. (2022). A Probabilistic Framework for Mutation Testing in Deep Neural Networks - Models archive Part 3 [Ensemble de données]. Lien externe
Thongtanunam, P., Rastogi, A., Khomh, F., Demeyer, S., Nagappan, M., Blincoe, K., & Robles, G. (2021). Shadow Program Committee Initiative: Process and Reflection. ACM SIGSOFT Software Engineering Notes, 46(4), 16-18. Lien externe
Tiwari, D., Washizaki, H., Fukazawa, Y., Fukuoka, T., Tamaki, J., Hosotani, N., Kohama, M., Guéhéneuc, Y.-G., & Khomh, F. (mai 2020). Commit-defect and architectural metrics-based quality assessment of C language [Communication écrite]. 15th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2020). Lien externe
Taba, S. E. S., Khomh, F., Zou, Y., Hassan, A. E., & Nagappan, M. (septembre 2013). Predicting bugs using antipatterns [Communication écrite]. 29th IEEE International Conference on Software Maintenance (ICSM 2013), Eindhoven, Netherlands. Lien externe
Uddin, G., Guéhénuc, Y.-G., Khomh, F., & Roy, C. K. (2022). An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Datasets. ACM Transactions on Software Engineering and Methodology, 31(3), 1-38. Lien externe
Uddin, G., Khomh, F., & Roy, C. K. (2021). Automatic API Usage Scenario Documentation from Technical Q&A Sites. ACM Transactions on Software Engineering and Methodology, 30(3), 1-45. Lien externe
Uddin, G., & Khomh, F. (2021). Automatic Mining of Opinions Expressed About APIs in Stack Overflow. IEEE Transactions on Software Engineering, 47(3), 522-559. Lien externe
Uddin, G., Sabir, F., Gueheneuc, Y. G., Alam, O., & Khomh, F. (2021). An empirical study of IoT topics in IoT developer discussions on Stack Overflow. Empirical Software Engineering, 26(6), 121 (45 pages). Lien externe
Uddin, G., Baysal, O., Guerrouj, L., & Khomh, F. (2021). Understanding How and Why Developers Seek and Analyze API-related Opinions. IEEE Transactions on Software Engineering, 47(4), 694-735. Lien externe
Uddin, G., Khomh, F., & Roy, C. K. (2020). Mining API usage scenarios from stack overflow. Information and Software Technology, 122, 16 pages. Lien externe
Uddin, G., Khomh, F., & Roy, C. K. (mai 2019). Towards crowd-sourced API documentation [Communication écrite]. 41st International Conference on Software Engineering - Software Engineering in Practice (ICSE-SEIP 2019), Montréal, Québec, Canada. Lien externe
Uddin, G., & Khomh, F. (octobre 2017). Automatic summarization of API reviews [Communication écrite]. 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE 2017), Urbana-Champaign, IL. Lien externe
Uddin, G., & Khomh, F. (2017). Mining API aspects in API Reviews. (Rapport technique). Non disponible
Uddin, G., & Khomh, F. (octobre 2017). Opiner: An opinion search and summarization engine for APIs [Communication écrite]. 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE 2017), Urbana, IL, USA. Lien externe
Upadhyaya, B., Zou, Y., & Khomh, F. (2015). An approach to extract RESTful services from web applications. International Journal of Business Process Integration and Management, 7(3), 213-227. Lien externe
Upadhyaya, B., Khomh, F., Zou, Y., Lau, A., & Ng, J. (décembre 2012). A concept analysis approach for guiding users in service discovery [Communication écrite]. 5th IEEE International Conference on Service-Oriented Computing and Applications (SOCA 2012), Taipei, Taiwan (8 pages). Lien externe
Upadhyaya, B., Khomh, F., & Zou, Y. (décembre 2012). Extracting RESTful services from Web applications [Communication écrite]. 5th IEEE International Conference on Service-Oriented Computing and Applications (SOCA 2012), Taipei, Taiwan (4 pages). Lien externe
Vahedi, M., Rahman, M. M., Khomh, F., Uddin, G., & Antoniol, G. (mars 2021). Summarizing Relevant Parts from Technical Videos [Communication écrite]. IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2021), Honolulu, HI, USA. Lien externe
Verdi, M., Sami, A., Akhondali, J., Khomh, F., Uddin, G., & Karami Motlagh, A. (2020). An Empirical Study of C++ Vulnerabilities in Crowd-Sourced Code Examples. IEEE Transactions on Software Engineering, 48(5), 1497-1514. Lien externe
Vaucher, S., Khomh, F., Moha, N., & Guéhéneuc, Y.-G. (octobre 2009). Tracking design smells: Lessons from a study of God classes [Communication écrite]. 16th Working Conference on Reverse Engineering (WCRE 2009), Lille, France. Lien externe
Wu, X., Laufer, E., Li, H., Khomh, F., Srinivasan, S., & Luo, J. (2024). Characterizing and classifying developer forum posts with their intentions. Empirical Software Engineering, 29(4), 84 (34 pages). Lien externe
Wu, X., Li, H., Yoshioka, N., Washizaki, H., & Khomh, F. (mars 2024). Refining GPT-3 Embeddings with a Siamese Structure for Technical Post Duplicate Detection [Communication écrite]. 31st IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2024), Rovaniemi, Finland. Lien externe
Wu, X., Li, H., & Khomh, F. (2023). Supplimental Materials - Truncated Spirit and Thunderbird datasets [Ensemble de données]. Lien externe
Wu, X., Li, H., & Khomh, F. (2023). On the effectiveness of log representation for log-based anomaly detection. Empirical Software Engineering, 28(6), 137 (39 pages). Lien externe
Washizaki, H., Khomh, F., Gueheneuc, Y. G., Takeuchi, H., Natori, N., Doi, T., & Okuda, S. (2022). Software-Engineering Design Patterns for Machine Learning Applications. Computer, 55(3), 30-39. Lien externe
Washizaki, H., Takeuchi, H., Khomh, F., Natori, N., Doi, T., & Okuda, S. (septembre 2020). Practitioners' insights on machine-learning software engineering design patterns: a preliminary study [Communication écrite]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2020). Lien externe
Washizaki, H., Khomh, F., & Guéhéneuc, Y.-G. (septembre 2020). Software engineering patterns for machine learning applications (SEP4MLA) [Communication écrite]. 9th Asian Conference on Pattern Languages of Program in 2020 (AsianPLoP 2020), Taipei, Taiwan (10 pages). Non disponible
Washizaki, H., Khomh, F., Guéhéneuc, Y.-G., Takeuchi, H., Okuda, S., Natori, N., & Shioura, N. (octobre 2020). Software Engineering Patterns for Machine Learning Applications (SEP4MLA) - Part 2 [Communication écrite]. 27th Conference on Pattern Languages of Programs in 2020 (PLoP' 2020) (10 pages). Non disponible
Washizaki, H., Uchida, H., Khomh, F., & Guéhéneuc, Y.-G. (décembre 2019). Studying Software Engineering Patterns for Designing Machine Learning Systems [Communication écrite]. 10th International Workshop on Empirical Software Engineering in Practice (IWESEP 2019), Tokyo, Japan. Lien externe
Washizaki, H., Guéhéneuc, Y.-G., & Khomh, F. (2018). ProMeTA: A taxonomy for program metamodels in program reverse engineering. Empirical Software Engineering, 23(4), 2323-2358. Disponible
Wang, S., Khomh, F., & Zou, Y. (2016). Improving bug management using correlations in crash reports. Empirical Software Engineering, 21(2), 337-367. Lien externe
Washizaki, H., Guéhéneuc, Y.-G., & Khomh, F. (octobre 2016). Patterns for program reverse engineering from the viewpoint of metamodel [Communication écrite]. 23rd ACM Conference on Pattern Languages of Programs (PLoP 2016), Monticello, Illinois (9 pages). Lien externe
Washizaki, H., Guéhéneuc, Y.-G., & Khomh, F. (octobre 2016). A Taxonomy for Program Metamodels in Program Reverse Engineering [Communication écrite]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2016), Raleigh, NC. Lien externe
Wu, W., Khomh, F., Adams, B., Guéhéneuc, Y.-G., & Antoniol, G. (2015). An exploratory study of API changes and usages based on Apache and Eclipse ecosystems. Empirical Software Engineering, 21(6), 2366-2412. Lien externe
Wang, S., Khomh, F., & Zou, Y. (mai 2013). Improving bug localization using correlations in crash reports [Communication écrite]. 10th Working Conference on Mining Software Repositories (MSR 2013), San Francisco, CA, USA. Lien externe
Xu, B., An, L., Thung, F., Khomh, F., & Lo, D. (2020). Why reinventing the wheels? An empirical study on library reuse and re-implementation. Empirical Software Engineering, 25(1), 755-789. Lien externe
Xie, S., Khomh, F., Zou, Y., & Keivanloo, I. (février 2014). An empirical study on the fault-proneness of clone migration in clone genealogies [Communication écrite]. IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE 2014), Antwerp, Belgium. Lien externe
Xie, S., Khomh, F., & Zou, Y. (mai 2013). An empirical study of the fault-proneness of clone mutation and clone migration [Communication écrite]. 10th Working Conference on Mining Software Repositories (MSR 2013), San Francisco, CA, USA. Lien externe
Xiao, H., Upadhyaya, B., Khomh, F., Zou, Y., Ng, J., & Lau, A. (juillet 2011). An Automatic Approach for Extracting Process Knowledge from the Web [Communication écrite]. IEEE International Conference on Web Services (ICWS 2011), Washington DC, USA. Lien externe
Yahmed, A. H., Allah Abbassi, A., Nikanjam, A., Li, H., & Khomh, F. (octobre 2023). Deploying deep reinforcement learning systems: a taxonomy of challenges [Communication écrite]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2023), Bogota, Colombia. Lien externe
Yin Ho, S. C., Majdinasab, V., Islam, M., Costa, D. E., Shihab, E., Khomh, F., Nadi, S., & Raza, M. (octobre 2023). An Empirical Study on Bugs Inside PyTorch: A Replication Study [Communication écrite]. 39th IEEE International Conference on Software Maintenance and Evolution (ICSME 2023), Bogota, Colombia. Lien externe
Yahmed, A. H., Bouchoucha, R., Ben Braiek, H., & Khomh, F. (septembre 2023). An Intentional Forgetting-Driven Self-Healing Method for Deep Reinforcement Learning Systems [Communication écrite]. 38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023), Echternach, Luxembourg. Lien externe
Yousefifeshki, F., Li, H., & Khomh, F. (2023). Studying the challenges of developing hardware description language programs. Information and Software Technology, 159, 16 pages. Lien externe
Yahmed, A. H., Ben Braiek, H., Khomh, F., Bouzidi, S., & Zaatour, R. (2022). DiverGet: a Search-Based Software Testing approach for Deep Neural Network Quantization assessment. Empirical Software Engineering, 27(7), 193 (32 pages). Lien externe
Yamashita, A., Petrillo, F., Khomh, F., & Guéhéneuc, Y.-G. (mai 2018). Developer interaction traces backed by IDE screen recordings from think aloud sessions [Communication écrite]. 15th ACM/IEEE International Conference on Mining Software Repositories (MSR 2018), Gothenburg, Sweden. Lien externe
Yamashita, A., Petrillo, F., Khomh, F., & Guéhéneuc, Y.-G. (2017). Empirical Data From A Longitudinal Software Maintenance Experiment [Ensemble de données]. Lien externe
Yamashita, A., Abtahizadeh, S. A., Khomh, F., & Guéhéneuc, Y.-G. (mai 2017). Software evolution and defects from controlled, multiple industrial case studies [Communication écrite]. 14th International Conference on Mining Software Repositories (MSR 2017), Buenos Aires, Argentina (4 pages). Lien externe
Yamashita, A., Abtahizadeh, S. A., Khomh, F., & Guéhéneuc, Y.-G. (mai 2017). Software Evolution and Quality Data from Controlled, Multiple, Industrial Case Studies [Communication écrite]. IEEE/ACM 14th International Conference on Mining Software Repositories (MSR 2017), Buenos Aires, Argentina. Lien externe
Yamashita, A., Guéhéneuc, Y.-G., Khomh, F., & Abtahizadeh, A. (2017). Software Evolution And Quality Data From Controlled, Multiple, Industrial Case Studies [Ensemble de données]. Lien externe
Zid, C., Belias, F., Di Penta, M., Khomh, F., & Antoniol, G. (mars 2024). List Comprehension Versus for Loops Performance in Real Python Projects: Should we Care? [Communication écrite]. 31st IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2024), Rovaniemi, Finland. Lien externe
Zid, C., Humeniuk, D., Khomh, F., & Antoniol, G. (juin 2020). Double cycle hybrid testing of hybrid distributed IoT system [Communication écrite]. IEEE/ACM 42nd International Conference on Software Engineering Workshops (ICSEW 2020), Seoul, Republic of Korea. Lien externe
Zampetti, F., Noiseux, C., Antoniol, G., Khomh, F., & Di Penta, M. (septembre 2017). Recommending When Design Technical Debt Should Be Self-Admitted [Communication écrite]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2017), Shanghai, China. Lien externe
Zhang, F., Khomh, F., Zou, Y., & Hassan, A. E. (2014). An empirical study of the effect of file editing patterns on software quality. Journal of Software: Evolution and Process, 26(11), 996-1029. Lien externe
Zhang, F., Mockus, A., Zou, Y., Khomh, F., & Hassan, A. E. (septembre 2013). How does context affect the distribution of software maintainability metrics? [Communication écrite]. 29th IEEE International Conference on Software Maintenance (ICSM 2013), Eindhoven, Netherlands. Lien externe
Zhang, F., Khomh, F., Zou, Y., & Hassan, A. E. (octobre 2012). An empirical study of the effect of file editing patterns on software quality [Communication écrite]. 19th Working Conference on Reverse Engineering (WCRE 2012), Kingston, ON, Canada. Lien externe
Zhang, F., Khomh, F., Zou, Y., & Hannan, A. E. (octobre 2012). An empirical study on factors impacting bug fixing time [Communication écrite]. 19th Working Conference on Reverse Engineering (WCRE 2012), Kingston, ON, Canada. Lien externe
Zhao, X., Khomh, F., & Zou, Y. (juillet 2011). Improving the Modifiability of the Architecture of Business Applications [Communication écrite]. International Conference on Quality Software (QSIC 2011), Madrid, Spain. Lien externe
