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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). External link
Abukhalaf, S., Hamdaqa, M., & Khomh, F. (2024, April). PathOCL: Path-Based Prompt Augmentation for OCL Generation with GPT-4 [Paper]. 1st IEEE/ACM International Conference on AI Foundation Models and Software Engineering (FORGE 2024), Lisbon, Portugal. External link
Abukhalaf, S., Hamdaqa, M., & Khomh, F. On Codex Prompt Engineering for OCL Generation: An Empirical Study [Paper]. 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR 2023), Melbourne, Australia. External link
Aghili, R., Li, H., & Khomh, F. (2023). Studying the characteristics of AIOps projects on GitHub. Empirical Software Engineering, 28(6), 143 (49 pages). External link
Abidi, M., Rahman, M. S., Openja, M., & Khomh, F. (2022). Multi-language design smells: a backstage perspective. Empirical Software Engineering, 27(5), 52 pages. External link
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. External link
Aly, M., Khomh, F., & Yacout, S. (2021, December). On the performance implications of deploying IoT apps as faas [Paper]. 1st International Conference on Advanced Network Technologies and Intelligent Computing (ANTIC 2021), Varanasi, India. External link
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. External link
Abidi, M., Openja, M., & Khomh, F. (2020, June). Multi-language design smells : a backstage perspective [Paper]. 17th International Conference on Mining Software Repositories (MSR 2020), Seoul, Republic of Korea. External link
Adams, B., & Khomh, F. (2020). The Diversity Crisis of Software Engineering for Artificial Intelligence. IEEE Software, 37(5), 104-108. External link
Abidi, M., & Khomh, F. (2020, July). Towards the definition of patterns and code smells for multi-language systems [Paper]. European Conference on Pattern Languages of Programs (EuroPLoP 2020), New York, NY, USA (13 pages). External link
Abidi, M., Khomh, F., & Guéhéneuc, Y.-G. (2019, July). Anti-patterns for multi-language systems [Paper]. 24th European Conference on Pattern Languages of Programs (EuroPLoP 2019), Irsee, Germany (14 pages). External link
Abidi, M., Grichi, M., & Khomh, F. (2019, November). Behind the scenes: developers' perception of multi-language practices [Paper]. 29th Annual International Conference on Computer Science and Software Engineering (CASCON 2019), Toronto, Ontario, Canada. External link
Abidi, M., Grichi, M., Khomh, F., & Guéhéneuc, Y.-G. (2019, July). Code smells for multi-language systems [Paper]. 24th European Conference on Pattern Languages of Programs (EuroPLoP 2019), Irsee, Germany (13 pages). External link
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. External link
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. External link
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). External link
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. External link
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. External link
Aly, M., Khomh, F., & Yacout, S. (2018, November). Kubernetes or OpenShift? Which Technology Best Suits Eclipse Hono IoT Deployments [Paper]. 11th IEEE Conference on Service-Oriented Computing and Applications (SOCA 2018), Paris, France. External link
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. External link
Armstrong, F., Khomh, F., & Adams, B. (2017, March). Broadcast vs. unicast review technology: Does it matter? [Paper]. 10th IEEE International Conference on Software Testing, Verification and Validation (ICST 2017), Tokyo, Japan. External link
An, L., Mlouki, O., Khomh, F., & Antoniol, G. (2017, February). Stack Overflow: A code laundering platform? [Paper]. 24th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2017), Klagenfurt, Austria. External link
Adams, B., Bellomo, S., Bird, C., Khomh, F., & Moir, K. (2015, May). 3rd International Workshop on Release Engineering (RELENG 2015) [Paper]. IEEE/ACM 37th IEEE International Conference on Software Engineering (ICSE 2015), Florence, Italy. External link
An, L., & Khomh, F. (2015, October). An empirical study of crash-inducing commits in Mozilla Firefox [Paper]. 11th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2015), Beijing, China. External link
An, L., & Khomh, F. (2015, August). An Empirical Study of Highly Impactful Bugs in Mozilla Projects [Paper]. IEEE International Conference on Software Quality, Reliability and Security (QRS 2015), Vancouver, BC, Canada. External link
Abtahizadeh, S. A., Khomh, F., & Guéhéneuc, Y.-G. (2015, December). How green are cloud patterns? [Paper]. 34th IEEE International Performance Computing and Communications Conference (IPCCC 2015), Nanjing, China (8 pages). External link
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. External link
An, L., Khomh, F., & Adams, B. (2014, September). Supplementary Bug Fixes vs. Re-opened Bugs [Paper]. 14th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2014), Victoria, BC. External link
Adams, B., Bird, C., Khomh, F., & Moir, K. (2013, May). 1st International Workshop on Release Engineering (RELENG 2013) [Paper]. 35th International Conference on Software Engineering (ICSE 2013), San Francisco, CA, USA. External link
Abbes, M., Khomh, F., Guéhéneuc, Y.-G., & Antoniol, G. (2011, March). An empirical study of the impact of two antipatterns, Blob and Spaghetti Code, on program comprehension [Paper]. 15th European Conference on Software Maintenance and Reengineering (CSMR 2011), Oldenburg, Germany. External link
Antoniol, G., Ayari, K., Penta, M. D., Khomh, F., & Guéhéneuc, Y.-G. (2008, October). Is it a bug or an enhancement?: a text-based approach to classify change requests [Paper]. 18th Annual International Conference of th Center for Advanced Studies on Collaborative Research (CASCON 2008), Richmond Hill, Ontario. External link
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. External link
Berhe, S., Maynard, M., & Khomh, F. (2023, March). Maintenance Cost of Software Ecosystem Updates [Paper]. 6th International Conference on Emerging Data and Industry 4.0 (EDI40 2023), Leuven, Belgium. Published in Procedia Computer Science, 220. External link
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. External link
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. External link
Ben Braiek, H., & Khomh, F. (2023). Testing Feedforward Neural Networks Training Programs. ACM Transactions on Software Engineering and Methodology, 32(4), 1-61. External link
Bosco, M., Cavoto, P., Ungolo, A., Muse, B. A., Khomh, F., Nardone, V., & Di Penta, M. UnityLint: A Bad Smell Detector for Unity [Paper]. 2023 IEEE/ACM 31st International Conference on Program Comprehension (ICPC 2023), Melbourne, Australia. External link
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. External link
Ben Braiek, H., Tfaily, A., Khomh, F., Reid, T., & Guida, C. (2022, October). SmOOD: Smoothness-based Out-of-Distribution Detection Approach for Surrogate Neural Networks in Aircraft Design [Paper]. 37th IEEE/ACM International Conference on Automated Software Engineering (ASE 2022), Rochester, MI, USA (13 pages). External link
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. External link
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. External link
Ben Braiek, H., & Khomh, F. (2020). On testing machine learning programs. Journal of Systems and Software, 164, 110542 (18 pages). External link
Berhe, S., Maynard, M., & Khomh, F. (2020, April). Software Release Patterns When is it a good time to update a software component? [Paper]. 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. Published in Procedia Computer Science, 170. External link
Barbez, A., Khomh, F., & Guéhéneuc, Y.-G. (2019, September). Deep Learning Anti-Patterns from Code Metrics History [Paper]. IEEE International Conference on Software Maintenance and Evolution, (ICSME 2019), Cleveland, OH, United states. External link
Ben Braiek, H., & Khomh, F. (2019, September). DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2019), Cleveland, OH, United states. External link
Businge, J., Openja, M., Kavaler, D., Bainomugisha, E., Khomh, F., & Filkov, V. (2019, February). Studying Android App Popularity by Cross-Linking GitHub and Google Play Store [Paper]. 26th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2019), Hangzhou, China. External link
Ben Braiek, H., & Khomh, F. (2019, July). TFCheck : A TensorFlow Library for Detecting Training Issues in Neural Network Programs [Paper]. 19th IEEE International Conference on Software Quality, Reliability and Security (QRS 2019), Sofia, Bulgaria. External link
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. External link
Barrak, A., Laverdière, M.-A., Khomh, F., An, L., & Merlo, E. (2018, October). Just-in-time Detection of Protection-Impacting Changes on WordPress and MediaWiki [Paper]. 28th Annual International Conference on Computer Science and Software Engineering (CASCON 2018), Toronto, Canada. Unavailable
Ben Braiek, H., Khomh, F., & Adams, B. (2018, May). The open-closed principle of modern machine learning frameworks [Paper]. 15th International Conference on Mining Software Repositories (MSR 2018), Gothenburg, Sweden. External link
Businge, J., Kawuma, S., Bainomugisha, E., Khomh, F., & Nabaasa, E. (2017, November). Code authorship and fault-proneness of open-source Android applications: An empirical study [Paper]. 13th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2017), Toronto, Canada. External link
Bani, B., Khomh, F., & Guéhéneuc, Y.-G. (2016, October). A Study of the Energy Consumption of Databases and Cloud Patterns [Paper]. 14th International Conference on Service-Oriented Computing (ICSOC 2016), Banff, Canada. External link
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. External link
Barbour, L., Khomh, F., & Zou, Y. (2011, September). Late propagation in software clones [Paper]. IEEE International Conference on Software Maintenance (ICSM 2011), Williamsburg, VA, USA. External link
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). External link
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). External link
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. External link
Castelluccio, M., An, L., & Khomh, F. (2017, September). Is it safe to uplift this patch? : An empirical study on Mozilla Firefox [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2017), Shanghai, China. External link
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). External link
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. In Generative AI for Effective Software Development (pp. 151-172). External link
Dakhel, A. M., Nikanjam, A., Khomh, F., Desmarais, M. C., & Washizaki, H. (2024). An Overview on Large Language Models. In Generative AI for Effective Software Development (pp. 3-21). External link
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. External link
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). External link
Dhaliwal, T., Khomh, F., Zou, Y., & Hassan, A. E. (2012, September). Recovering commit dependencies for selective code integration in software product lines [Paper]. 28th IEEE International Conference on Software Maintenance (ICSM 2012), Trento, Italy. External link
Dhaliwal, T., Khomh, F., & Zou, Y. (2011, September). Classifying field crash reports for fixing bugs: A case study of Mozilla Firefox [Paper]. IEEE International Conference on Software Maintenance (ICSM 2011), Williamsburg, VA, USA. External link
Denier, S., Khomh, F., & Guéhéneuc, Y.-G. (2008). Reverse-engineering the literature on design patterns and reverse-engineering. (Technical Report n° EPM-RT-2008-09). Available
Ehsan, O., Khomh, F., Zou, Y., & Qiu, D. (2023). Ranking code clones to support maintenance activities. Empirical Software Engineering, 28(3), 38 pages. External link
Ehsan, O., Barbour, L., Khomh, F., & Zou, Y. (2021). Is Late Propagation a Harmful Code Clone Evolutionary Pattern? An Empirical Study. In Inoue, K., & Roy, C. K. (eds.), Code Clone Analysis : Research, Tools, and Practice . External link
El aoun, M. R., Li, H., Khomh, F., & Openja, M. (2021, September). Understanding Quantum Software Engineering Challenges An Empirical Study on Stack Exchange Forums and GitHub Issues [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2021), Luxembourg, Netherlands. External link
Foalem, P. L., Khomh, F., & Li, H. (2024). Studying logging practice in machine learning-based applications. Information and Software Technology, 170, 107450 (17 pages). External link
Firouzi, E., Sami, A., Khomh, F., & Uddin, G. (2020, October). On the use of C# Unsafe Code Context: An Empirical Study of Stack Overflow [Paper]. 14th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2020), Bari, Italy (6 pages). External link
Fakhoury, S., Arnaoudova, V., Noiseux, C., Khomh, F., & Antoniol, G. (2018, March). Keep it simple: Is deep learning good for linguistic smell detection? [Paper]. 25th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2018), Campobasso, Italy. External link
Guéhéneuc, Y.-G., & Khomh, F. (2019). Empirical Software Engineering. In Cha, S., Taylor, R. N., & Kang, K. C. (eds.), Handbook of Software Engineering (pp. 285-320). External link
Grichi, M., Abidi, M., Guéhéneuc, Y.-G., & Khomh, F. (2019, November). State of practices of Java native interface [Paper]. 29th Annual International Conference on Computer Science and Software Engineering (CASCON 2019), Toronto, Ontario, Canada. External link
Ghrairi, N., Kpodjedo, S., Barrak, A., Petrillo, F., & Khomh, F. (2018, July). The state of practice on virtual reality (VR) applications: an exploratory study on github and stack overflow [Paper]. IEEE International Conference on Software Quality, Reliability and Security (QRS 2018), Lisbon, Portugal. External link
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. External link
Guerrouj, L., Baysal, O., Lo, D., & Khomh, F. (2016, May). Software analytics: challenges and opportunities [Paper]. 38th International Conference on Software Engineering Companion (ICSE 2016), Austin, TX. External link
Humeniuk, D., Khomh, F., & Antoniol, G. (2023). AmbieGen: A search-based framework for autonomous systems testing. Science of Computer Programming, 230, 102990 (10 pages). External link
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. External link
Humeniuk, D., Khomh, F., & Antoniol, G. RIGAA at the SBFT 2023 Tool Competition - Cyber-Physical Systems Track [Paper]. 2023 IEEE/ACM International Workshop on Search-Based and Fuzz Testing (SBFT 2023), Melbourne, Australia. External link
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 [Dataset]. External link
Humeniuk, D., Antoniol, G., & Khomh, F. (2022, May). ***AmbieGen tool at the SBST 2022 Tool Competition [Paper]. 15th Search-Based Software Testing Workshop (SBST 2022). External link
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). External link
Humeniuk, D., Antoniol, G., & Khomh, F. (2021, May). Data Driven Testing of Cyber Physical Systems [Paper]. 14th IEEE/ACM International Workshop on Search-Based Software Testing (SBST 2021), Madrid, Spain. External link
Humeniuk, D., Antoniol, G., & Khomh, F. (2021, May). SWAT tool at the SBST 2021 Tool Competition [Paper]. 14th IEEE/ACM International Workshop on Search-Based Software Testing (SBST 2021), Madrid, Spain. External link
Hamidi, A., Antoniol, G., Khomh, F., Penta, M. D., & Hamidi, M. (2021, September). Towards Understanding Developers' Machine-Learning Challenges: A Multi-Language Study on Stack Overflow [Paper]. 21st IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2021), Luxembourg City, Luxembourg. External link
Hecht, G., Jose-Scheidt, B., De Figueiredo, C., Moha, N., & Khomh, F. (2014, December). An Empirical Study of the Impact of Cloud Patterns on Quality of Service (QoS) [Paper]. 6th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2014), Singapore. External link
Hassaine, S., Khomh, F., Guéhéneuc, Y.-G., & Hamel, S. (2010, September). IDS: An Immune-inspired Approach for the Detection of Software Design Smells [Paper]. 7th International Conference on the Quality of Information and Communications Technology (QUATIC 2010), Porto. External link
Haderer, N., Khomh, F., & Antoniol, G. (2010, September). SQUANER: A framework for monitoring the quality of software systems [Paper]. 26th IEEE International Conference on Software Maintenance (ICSM 2010), Timisoara, Romania (4 pages). External link
Ikama, A., Du, V., Belias, P., Muse, B. A., Khomh, F., & Hamdaqa, M. (2022, October). Revisiting the Impact of Anti-patterns on Fault-Proneness: A Differentiated Replication [Paper]. 22nd IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2022), Limassol, Cyprus. External link
Infantes, R. S., Beltrame, G., Khomh, F., Alba, E., & Antoniol, G. (2016, March). Optimizing user experience in choosing Android applications [Paper]. 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016), Osaka, Japan. External link
Jamshidi, S., Amirnia, A., Nikanjam, A., & Khomh, F. (2024, April). Enhancing Security and Energy Efficiency of Cyber-Physical Systems using Deep Reinforcement Learning [Paper]. 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. Published in Procedia Computer Science, 238. External link
Jamshidi, S., Nikanjam, A., Hamdaqa, M. A., & Khomh, F. (2023). Attack Detection by Using Deep Learning for Cyber-Physical System. In Artificial Intelligence for Cyber-Physical Systems Hardening (Vol. 2, pp. 155-179). External link
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). External link
Jebnoun, H., Ben Braiek, H., Rahman, M. M., & Khomh, F. (2020, June). The scent of deep learning code : an empirical study [Paper]. 17th International Conference on Mining Software Repositories (MSR 2020), Seoul, Republic of Korea. External link
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. External link
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. External link
Jaafar, F., Khomh, F., Guéhéneuc, Y.-G., & Zulkernine, M. (2014, October). Anti-pattern Mutations and Fault-proneness [Paper]. 14th International Conference on Quality Software (QSIC 2014), Dallas, Texas. External link
Jiang, Y., Adams, B., Khomh, F., & German, D. M. (2014, September). Tracing back the history of commits in low-tech reviewing environments: a case study of the Linux kernel [Paper]. 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2014), Torino, Italy (10 pages). External link
Jaafar, F., Guéhéneuc, Y.-G., Hamel, S., & Khomh, F. (2013, March). Analysing Anti-patterns Static Relationships with Design Patterns [Paper]. First Workshop on Patterns Promotion and Anti-patterns Prevention (PPAP 2013), Genova, Italy (26 pages). Published in Electronic Communications of the EASST, 59. External link
Jaafar, F., Guéhéneuc, Y.-G., Hamel, S., & Khomh, F. (2013, October). Mining the relationship between anti-patterns dependencies and fault-proneness [Paper]. 20th Working Conference on Reverse Engineering (WCRE 2013), Koblenz, Germany. External link
Kouemo Ngassom, S., Moradi Dakhel, A., Tambon, F., & Khomh, F. (2024, July). Chain of Targeted Verification Questions to Improve the Reliability of Code Generated by LLMs [Paper]. 1st ACM International Conference on AI-Powered Software (ALWARE 2024), Porto de Galinhas, Brazil. External link
Khomh, F., & Jahangirova, G. (2024). Search-based Software Engineering. External link
Khomh, F. (2023, December). Harnessing Predictive Modeling and Software Analytics in the Age of LLM-Powered Software Development [Abstract]. 19th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2023), San Francisco, CA, USA (1 page). External link
Khomh, F. (2022, November). Data quality and model under-specification issues (keynote) [Paper]. 2nd International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things (SEA4DQ 2022), Singapore (2 pages). External link
Kermansaravi, Z., Rahman, S., Khomh, F., Jaafar, F., & Guéhéneuc, Y.-G. (2021, May). Investigating design anti-pattern and design pattern mutation and their change- and fault-proneness [Paper]. 43rd IEEE/ACM International Conference on Software Engineering (41 pages). Unavailable
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. External link
Khomh, F., & Guéhéneuc, Y.-G. (2018, March). Design patterns impact on software quality: Where are the theories? [Paper]. 25th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2018), Campobasso, Italy. External link
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. External link
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. External link
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. External link
Karasneh, B., Chaudron, M. R. V., Khomh, F., & Guéhéneuc, Y.-G. (2016, March). Studying the relation between anti-patterns in design models and in source code [Paper]. 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016), Suita, Japan. External link
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. External link
Kerzazi, N., & Khomh, F. (2014, September). Factors impacting rapid releases: An industrial case study [Paper]. 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2014), Torino, Italy (8 pages). External link
Kerzazi, N., & Khomh, F. (2014, April). Factors impacting software release engineering: a longitudinal study [Paper]. 2nd International Workshop on Release Engineering (RELENG 2014), Mountain View, CA (5 pages). External link
Khomh, F., Guéhéneuc, Y.-G., Antoniol, G., & Di Penta, M. (2014). Modèles de qualité et conception des programmes. In Évolution et maintenance des systèmes logiciels . External link
Khomh, F. (2014, April). On improving the dependability of cloud applications with fault-tolerance [Paper]. IEEE/IFIP Conference on Software Architecture (WICSA 2014), Sydney, NSW, Australia (3 pages). External link
Kerzazi, N., Khomh, F., & Adams, B. (2014, September). Why Do Automated Builds Break? An Empirical Study [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2014), Victoria, BC, Canada. External link
Khomh, F., Yuan, H., & Zou, Y. (2012, September). Adapting Linux for mobile platforms : an empirical study of Android [Paper]. 28th IEEE International Conference on Software Maintenance (ICSM 2012), Trento, Italy. External link
Khomh, F., Dhaliwal, T., Zou, Y., & Adams, B. (2012, June). Do Faster Releases Improve Software Quality? An Empirical Case Study of Mozilla Firefox [Paper]. 9th IEEE Working Conference on Mining Software Repositories (MSR 2012), Zurich, Switzerland. External link
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. External link
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. External link
Khomh, F., Chan, B., Zou, Y., & Hassan, A. E. (2011, October). An Entropy Evaluation Approach for Triaging Field Crashes: A Case Study of Mozilla Firefox [Paper]. Working Conference on Reverse Engineering (WCRE 2011), Limerick, Ireland. External link
Khomh, F., Chan, B., Zou, Y., Sinha, A., & Dietz, D. (2011, September). Predicting post-release defects using pre-release field testing results [Paper]. IEEE International Conference on Software Maintenance (ICSM 2011), Williamsburg, VA, USA. External link
Khomh, F., Moha, N., & Guéhéneuc, Y.-G. (2009). DEQUALITE : méthode de construction de modèles de qualité prenant en compte la conception des systèmes. (Technical Report n° EPM-RT-2009-04). Available
Khomh, F., Di Penta, M., Guéhéneuc, Y.-G., & Antoniol, G. (2009). An exploratory study of the impact of software changeability. (Technical Report n° EPM-RT-2009-02). Available
Khomh, F., Guéhéneuc, Y.-G., & Antoniol, G. (2009). Playing roles in design patterns: an empirical descriptive and analytic study. (Technical Report n° EPM-RT-2009-03). Available
Khomh, F., Vaucher, S., Guéhéneuc, Y.-G., & Sahraoui, H. (2009, August). A Bayesian approach for the detection of code and design smells [Paper]. 9th International Conference on Quality Software (QSIC 2009), Jeju, South Korea. External link
Khomh, F., Guéhéneuc, Y.-G., & Antoniol, G. (2009). An empirical descriptive and analytic study of playing roles in design patterns. (Technical Report n° EPM-RT-2009-03). Unavailable
Khomh, F., Di Penta, M., & Guéhéneuc, Y.-G. (2009, October). An exploratory study of the impact of code smells on software change-proneness [Paper]. 16th Working Conference on Reverse Engineering (WCRE 2009), Lille, France. External link
Khomh, F., Di Penta, M., & Guéhéneuc, Y.-G. (2009). An exploratory study of the impact of code smells on software change-proneness. (Technical Report). Unavailable
Khomh, F., Guéhéneuc, Y.-G., & Antoniol, G. (2009, September). Playing roles in design patterns: an empirical descriptive and analytic study [Paper]. IEEE International Conference on Software Maintenance (ICSM 2009), Edmonton, Alberta, Canada. External link
Khomh, F. (2009, October). SQUAD: Software Quality Understanding through the Analysis of Design [Paper]. 16th Working Conference on Reverse Engineering (WCRE 2009), Lille, France. External link
Khomh, F., & Guéhéneuc, Y.-G. (2008, October). DEQUALITE: building design-based software quality models [Paper]. 15th Conference on Pattern Languages of Programs (PLoP 2008), Nashville, TN (7 pages). External link
Khomh, F., & Guéhéneuc, Y.-G. (2008, April). Do design patterns impact software quality positively? [Paper]. 12th European Conference on Software Maintenance and Reengineering (CSMR 2008), Athens, Greece. External link
Khomh, F., & Guéhéneuc, Y.-G. (2008). An empirical study of design patterns and software quality. (Technical Report n° 1315). Unavailable
Khomh, F., & Guéhéneuc, Y.-G. (2007, July). Perception and reality: what are design patterns good for? [Paper]. 11th ECOOP Workshop on Quantitative Approaches in Object-Oriented Software Engineering (QAOOSE 2007), Berlin, Germany (7 pages). External link
Laberge, G., Pequignot, Y., Marchand, M., & Khomh, F. (2024, May). Tackling the XAI Disagreement Problem with Regional Explanations [Paper]. 27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024), Valencia, Spain. External link
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. External link
Le, A., Khomh, F., McIntosh, S., & Castelluccio, M. (2018, December). Why Did This Reviewed Code Crash? An Empirical Study of Mozilla Firefox [Paper]. 25th Asia-Pacific Software Engineering Conference (APSEC 2018), Nara, Japan (10 pages). External link
Le, A., & Khomh, F. (2015, March). Challenges and Issues of Mining Crash Reports [Paper]. IEEE 1st International Workshop on Software Analytics (SWAN 2015), Montréal, Québec. External link
Lavoie, T., Khomh, F., Merlo, E., & Zou, Y. (2012, October). Inferring repository file structure modifications using nearest-neighbor clone detection [Paper]. 19th Working Conference on Reverse Engineering (WCRE 2012), Kingston, ON, Canada. External link
Majdinasab, V., Bishop, M. J., Rasheed, S., Moradidakhel, A., Tahir, A., & Khomh, F. (2024, March). Assessing the Security of GitHub Copilot's Generated Code - A Targeted Replication Study [Paper]. 2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2024), Rovaniemi, Finland. External link
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). External link
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). External link
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). External link
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. External link
Morovati, M. M., Nikanjam, A., Khomh, F., & Jiang, Z. M. (2023). Bugs in machine learning-based systems: a faultload benchmark [Dataset]. External link
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). External link
Muse, B. A., Khomh, F., & Antoniol, G. (2022, March). Do developers refactor data access code? An empirical study [Paper]. IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2022), Honolulu, HI, USA. External link
Majidi, F., Openja, M., Khomh, F., & Li, H. (2022, October). An Empirical Study on the Usage of Automated Machine Learning Tools [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2022), Limassol, Cyprus. External link
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. External link
Marhaba, M., Merlo, E., Khomh, F., & Antoniol, G. (2022, May). Identification of out-of-distribution cases of CNN using class-based surprise adequacy [Paper]. IEEE/ACM 1st International Conference on AI Engineering - Software Engineering for AI (CAIN 2022), Pittsburgh, PA, USA. External link
Moradi Dakhel, A., Desmarais, M. C., & Khomh, F. (2021, June). Assessing developer expertise from the statistical distribution of programming syntax patterns [Paper]. 25th Evaluation and Assessment in Software Engineering Conference (EASE 2021). External link
Mindom, P. S. N., Nikanjam, A., Khomh, F., & Mullins, J. (2021, December). On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods [Paper]. 21st International Conference on Software Quality, Reliability and Security (QRS 2021), Hainan, China. External link
Muse, B. A., Rahman, M. M., Nagy, C., Cleve, A., Khomh, F., & Antoniol, G. (2020, June). On the prevalence, impact and evolution of SQL Code smells in data-intensive systems [Paper]. 17th International Conference on Mining Software Repositories (MSR 2020), Seoul, Republic of Korea. External link
Morales, R., Khomh, F., & Antoniol, G. (2020). RePOR: Mimicking humans on refactoring tasks. Are we there yet? Empirical Software Engineering, 25(4), 2960-2996. External link
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. External link
Morales, R., Saborido, R., Khomh, F., Chicano, F., & Antoniol, G. (2018, May). EARMO: An energy-aware refactoring approach for mobile apps [Abstract]. 40th IEEE/ACM International Conference on Software Engineering (ICSE 2018), Gothenburg, Sweden (1 page). External link
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. External link
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. External link
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. External link
Musavi, P., Adams, B., & Khomh, F. (2016, October). Experience Report: An Empirical Study of API Failures in OpenStack Cloud Environments [Paper]. 27th IEEE International Symposium on Software Reliability Engineering (ISSRE 2016), Ottawa, Ontario. External link
Morales, R., Sabané, A., Musavi, P., Khomh, F., Chicano, F., & Antoniol, G. (2016, March). Finding the best compromise between design quality and testing effort during refactoring [Paper]. 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016), Osaka, Japan. External link
Mlouki, O., Khomh, F., & Antoniol, G. (2016, March). On the detection of licenses violations in android ecosystem [Paper]. 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2016), Osaka, Japan. External link
Morales, R., McIntosh, S., & Khomh, F. (2015, March). Do code review practices impact design quality? A case study of the Qt, VTK, and ITK projects [Paper]. 22nd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2015), Montréal, Québec. External link
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. External link
Mantyla, M. V., Khomh, F., Adams, B., Engstrom, E., & Petersen, K. (2013, September). On rapid releases and software testing [Paper]. 29th IEEE International Conference on Software Maintenance (ICSM 2013), Eindhoven, Netherlands. External link
Moha, N., Khomh, F., & Guéhéneuc, Y.-G. (2008, March). Génération automatique d'algorithmes de détection des défauts de conception [Paper]. 14e Colloque Langages et modèles à objets (LMO 2008) (13 pages). Unavailable
Nguyen-Duc, A., Abrahamsson, P., & Khomh, F. (2024). Generative AI for effictive software development. External link
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). External link
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. External link
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. External link
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). External link
Nikanjam, A., & Khomh, F. (2021, September). Design Smells in Deep Learning Programs: An Empirical Study [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2021), Luxembourg, Netherlands. External link
Openja, M., Laberge, G., & Khomh, F. (2024). Detection and evaluation of bias-inducing features in machine learning. Empirical Software Engineering, 29(1), 71 pages. External link
Openja, M., Nikanjam, A., Yahmed, A. H., Khomh, F., & Jiang, Z. M. J. (2022, October). An Empirical Study of Challenges in Converting Deep Learning Models [Paper]. 39th IEEE International Conference on Software Maintenance and Evolution (ICSME 2022), Limassol, Cyprus. External link
Openja, M., Majidi, F., Khomh, F., Chembakottu, B., & Li, H. (2022, June). Studying the Practices of Deploying Machine Learning Projects on Docker [Paper]. 26th ACM International Conference on Evaluation and Assessment in Software Engineering (EASE 2022), Gothenburg, Sweden. External link
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. External link
Openja, M., Adams, B., & Khomh, F. (2020, September). Analysis of Modern Release Engineering Topics : – A Large-Scale Study using StackOverflow – [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2020), Adelaide, Australia. External link
Oliveto, R., Khomh, F., Antoniol, G., & Guéhéneuc, Y.-G. (2010, March). Numerical signatures of antipatterns : an approach based on B-splines [Paper]. 14th European Conference on Software Maintenance and Reengineering (CSMR 2010), Madrid, Spain. External link
Pan, W., Washizaki, H., Yoshioka, N., Fukazawa, Y., Khomh, F., & Guéhéneuc, Y.-G. (2023, December). A Machine Learning Based Approach to Detect Machine Learning Design Patterns [Paper]. 30th Asia-Pacific Software Engineering Conference (APSEC 2023), Seoul, Korea, Republic of Seoul. External link
Pecorelli, F., Palomba, F., Khomh, F., & De Lucia, A. (2020, June). Developer-driven code smell prioritization [Paper]. 17th International Conference on Mining Software Repositories (MSR 2020), Seoul, Republic of Korea. External link
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. External link
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 [Dataset]. External link
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. External link
Petrillo, F., Mandian, H., Yamashita, A., Khomh, F., & Guéhéneuc, Y.-G. (2017, July). How do developers toggle breakpoints? Observational studies [Paper]. IEEE International Conference on Software Quality, Reliability and Security (QRS 2017), Prague, Czech Republic. External link
Petrillo, F., Soh, Z., Khomh, F., Pimenta, M., Freitas, C., & Guéhéneuc, Y.-G. (2016, August). Towards Understanding Interactive Debugging [Paper]. IEEE International Conference on Software Quality, Reliability and Security (QRS 2016), Vienna, Austria. External link
Petrillo, F., Soh, Z., Khomh, F., Pimenta, M., Freitas, C., & Guéhéneuc, Y.-G. (2016, May). Understanding interactive debugging with swarm debug infrastructure [Paper]. 24th IEEE International Conference on Program Comprehension (ICPC 2016), Austin, TX (4 pages). External link
Palma, F., An, L., Khomh, F., Moha, N., & Guéhéneuc, Y.-G. (2014, November). Investigating the change-proneness of service patterns and antipatterns [Paper]. 7th IEEE International Conference on Service-Oriented Computing and Applications (SOCA 2014), Matsue, Japan (8 pages). External link
Qasse, I., Mishra, S., Jonsson, B. þ., Khomh, F., & Hamdaqa, M. (2023, July). Chat2Code: A Chatbot for Model Specification and Code Generation, The Case of Smart Contracts [Paper]. IEEE International Conference on Software Services Engineering (SSE 2023), Chicago, IL, USA. External link
Rezgui, J., Jobin, F., Kechout, Y., Turgeon, C., & Khomh, F. (2024, May). Towards a reliable french speech recognition tool for an automated diagnosis of learning disabilities [Paper]. 2024 International Conference on Smart Applications, Communications and Networking (SmartNets 2024), Harrisonburg, VA, USA (6 pages). External link
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). External link
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. External link
Rahman, M. S., Khomh, F., Rivera, E., Guéhéneuc, Y.-G., & Lehnert, B. (2022, May). Challenges in machine learning application development : an industrial experience report [Paper]. IEEE/ACM 1st International Workshop on Software Engineering for Responsible Artificial Intelligence (SE4RAI 2022), Pittsburgh, PA, USA. External link
Ramkisoen, P. K., Businge, J., Van Bladel, B., Decan, A., Demeyer, S., De Roover, C., & Khomh, F. (2022, November). PaReco: patched clones and missed patches among the divergent variants of a software family [Paper]. 30th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2022), Singapore, Singapore. External link
Roy, S., Laberge, G., Roy, B., Khomh, F., Nikanjam, A., & Mondal, S. (2022, October). Why Don't XAI Techniques Agree? Characterizing the Disagreements Between Post-hoc Explanations of Defect Predictions [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2022), Limassol, Cyprus. External link
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). External link
Rivera-Landos, E., Khomh, F., & Nikanjam, A. (2021, December). The Challenge of Reproducible ML: An Empirical Study on The Impact of Bugs [Paper]. 21st International Conference on Software Quality, Reliability and Security (QRS 2021), Hainan, China. External link
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). External link
Rahman, M. M., Khomh, F., & Castelluccio, M. (2020, September). Why are Some Bugs Non-Reproducible? : An Empirical Investigation using Data Fusion [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2020). External link
Romano, D., Raila, P., Pinzger, M., & Khomh, F. (2012, October). Analyzing the impact of antipatterns on change-proneness using fine-grainde source code changes [Paper]. 19th Working Conference on Reverse Engineering (WCRE 2012), Kingston, ON, Canada. External link
Soualhia, M., Khomh, F., & Tahar, S. (2021, September). Failure analysis of hadoop schedulers using an integration of model checking and simulation [Paper]. 9th International Symposium on Symbolic Computation in Software Science (SCSS 2021). External link
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. External link
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. External link
Soualhia, M., Fu, C., & Khomh, F. (2019, November). Infrastructure fault detection and prediction in edge cloud environments [Paper]. 4th ACM/IEEE Symposium on Edge Computing (SEC 2019), Arlington, Virginia. External link
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. External link
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. External link
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. External link
Saborido, R., Khomh, F., Antoniol, G., & Guéhéneuc, Y.-G. (2017, May). Comprehension of ads-supported and paid Android applications: Are they different? [Paper]. 25th International Conference on Program Comprehension (ICPC 2017), Buenos Aires, Argentina. External link
Saboury, A., Musavi, P., Khomh, F., & Antoniol, G. (2017, February). An empirical study of code smells in JavaScript projects [Paper]. 24th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2017), Klagenfurt, Austria. External link
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. External link
Saborido, R., Beltrame, G., Khomh, F., Alba, E., & Antoniol, G. (2016). Optimizing user experience in choosing android applications. (Technical Report n° EPM-RT-2016-03). Available
Soh, Z., Yamashita, A., Khomh, F., & Guéhéneuc, Y.-G. (2016, March). Do code smells impact the effort of different maintenance programming activities? [Paper]. 23rd IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2106), Osaka, Japan. External link
Soualhia, M., Khomh, F., & Tahar, S. (2015). ATLAS: a failure-aware scheduler for Hadoop. (Technical Report). External link
Soualhia, M., Khomh, F., & Tahar, S. (2015, December). ATLAS: an adaptive failure-aware scheduler for Hadoop [Paper]. 34th IEEE International Performance Computing and Communications Conference (IPCCC 2015), Nanjing, China (8 pages). External link
Soh, Z., Drioul, T., Rappe, P. A., Khomh, F., Guéhéneuc, Y.-G., & Habra, N. (2015, October). Noises in interaction traces data and their impact on previous research studies [Paper]. ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2015), Beijing, China (10 pages). External link
Soualhia, M., Khomh, F., & Tahar, S. (2015). Predicting Scheduling Failures in the Cloud. (Technical Report). External link
Soualhia, M., Khomh, F., & Tahar, S. (2015, August). Predicting scheduling failures in the cloud: A case study with google clusters and hadoop on Amazon EMR [Paper]. 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. External link
Shridhar, M., Adams, B., & Khomh, F. (2014, September). A qualitative analysis of software build system changes and build ownership styles [Paper]. 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2014), Torino, Italy (10 pages). External link
Soh, Z., Khomh, F., Guéhéneuc, Y.-G., Antoniol, G., & Adams, B. (2013, October). On the effect of program exploration on maintenance tasks [Paper]. 20th Working Conference on Reverse Engineering (WCRE 2013), Koblenz, Germany. External link
Soh, Z., Khomh, F., Guéhéneuc, Y.-G., & Antoniol, G. (2013, October). Towards understanding how developers spend their effort during maintenance activities [Paper]. 20th Working Conference on Reverse Engineering (WCRE 2013), Koblenz, Germany. External link
Taraghi, M., Dorcelus, G., Foundjem, A., Tambon, F., & Khomh, F. (2024, March). Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and Trends [Paper]. 31st IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2024), Rovaniemi, Finland. External link
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). External link
Tambon, F., Majfinasab, V., Nikanjam, A., Khomh, F., & Antoniol, G. (2023, April). Mutation testing of deep reinforcement learning based on real faults [Paper]. 16th IEEE Conference on Software Testing, Verification and Validation (ICST 2023), Dublin, Ireland. External link
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). External link
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. External link
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). External link
Tambon, F., Khomh, F., & Antoniol, G. (2022). A Probabilistic Framework for Mutation Testing in Deep Neural Networks - Models archive Part 1 [Dataset]. External link
Tambon, F., Khomh, F., & Antoniol, G. (2022). A Probabilistic Framework for Mutation Testing in Deep Neural Networks - Models archive Part 2 [Dataset]. External link
Tambon, F., Khomh, F., & Antoniol, G. (2022). A Probabilistic Framework for Mutation Testing in Deep Neural Networks - Models archive Part 3 [Dataset]. External link
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. External link
Tiwari, D., Washizaki, H., Fukazawa, Y., Fukuoka, T., Tamaki, J., Hosotani, N., Kohama, M., Guéhéneuc, Y.-G., & Khomh, F. (2020, May). Commit-defect and architectural metrics-based quality assessment of C language [Paper]. 15th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2020). External link
Taba, S. E. S., Khomh, F., Zou, Y., Hassan, A. E., & Nagappan, M. (2013, September). Predicting bugs using antipatterns [Paper]. 29th IEEE International Conference on Software Maintenance (ICSM 2013), Eindhoven, Netherlands. External link
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. External link
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. External link
Uddin, G., & Khomh, F. (2021). Automatic Mining of Opinions Expressed About APIs in Stack Overflow. IEEE Transactions on Software Engineering, 47(3), 522-559. External link
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). External link
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. External link
Uddin, G., Khomh, F., & Roy, C. K. (2020). Mining API usage scenarios from stack overflow. Information and Software Technology, 122, 16 pages. External link
Uddin, G., Khomh, F., & Roy, C. K. (2019, May). Towards crowd-sourced API documentation [Paper]. 41st International Conference on Software Engineering - Software Engineering in Practice (ICSE-SEIP 2019), Montréal, Québec, Canada. External link
Uddin, G., & Khomh, F. (2017, October). Automatic summarization of API reviews [Paper]. 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE 2017), Urbana-Champaign, IL. External link
Uddin, G., & Khomh, F. (2017). Mining API aspects in API Reviews. (Technical Report). Unavailable
Uddin, G., & Khomh, F. (2017, October). Opiner: An opinion search and summarization engine for APIs [Paper]. 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE 2017), Urbana, IL, USA. External link
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. External link
Upadhyaya, B., Khomh, F., Zou, Y., Lau, A., & Ng, J. (2012, December). A concept analysis approach for guiding users in service discovery [Paper]. 5th IEEE International Conference on Service-Oriented Computing and Applications (SOCA 2012), Taipei, Taiwan (8 pages). External link
Upadhyaya, B., Khomh, F., & Zou, Y. (2012, December). Extracting RESTful services from Web applications [Paper]. 5th IEEE International Conference on Service-Oriented Computing and Applications (SOCA 2012), Taipei, Taiwan (4 pages). External link
Vahedi, M., Rahman, M. M., Khomh, F., Uddin, G., & Antoniol, G. (2021, March). Summarizing Relevant Parts from Technical Videos [Paper]. IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2021), Honolulu, HI, USA. External link
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. External link
Vaucher, S., Khomh, F., Moha, N., & Guéhéneuc, Y.-G. (2009, October). Tracking design smells: Lessons from a study of God classes [Paper]. 16th Working Conference on Reverse Engineering (WCRE 2009), Lille, France. External link
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). External link
Wu, X., Li, H., Yoshioka, N., Washizaki, H., & Khomh, F. (2024, March). Refining GPT-3 Embeddings with a Siamese Structure for Technical Post Duplicate Detection [Paper]. 31st IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2024), Rovaniemi, Finland. External link
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). External link
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. External link
Washizaki, H., Takeuchi, H., Khomh, F., Natori, N., Doi, T., & Okuda, S. (2020, September). Practitioners' insights on machine-learning software engineering design patterns: a preliminary study [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2020). External link
Washizaki, H., Khomh, F., & Guéhéneuc, Y.-G. (2020, September). Software engineering patterns for machine learning applications (SEP4MLA) [Paper]. 9th Asian Conference on Pattern Languages of Program in 2020 (AsianPLoP 2020), Taipei, Taiwan (10 pages). Unavailable
Washizaki, H., Khomh, F., Guéhéneuc, Y.-G., Takeuchi, H., Okuda, S., Natori, N., & Shioura, N. (2020, October). Software Engineering Patterns for Machine Learning Applications (SEP4MLA) - Part 2 [Paper]. 27th Conference on Pattern Languages of Programs in 2020 (PLoP' 2020) (10 pages). Unavailable
Washizaki, H., Uchida, H., Khomh, F., & Guéhéneuc, Y.-G. (2019, December). Studying Software Engineering Patterns for Designing Machine Learning Systems [Paper]. 10th International Workshop on Empirical Software Engineering in Practice (IWESEP 2019), Tokyo, Japan. External link
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. Available
Wang, S., Khomh, F., & Zou, Y. (2016). Improving bug management using correlations in crash reports. Empirical Software Engineering, 21(2), 337-367. External link
Washizaki, H., Guéhéneuc, Y.-G., & Khomh, F. (2016, October). Patterns for program reverse engineering from the viewpoint of metamodel [Paper]. 23rd ACM Conference on Pattern Languages of Programs (PLoP 2016), Monticello, Illinois (9 pages). External link
Washizaki, H., Guéhéneuc, Y.-G., & Khomh, F. (2016, October). A Taxonomy for Program Metamodels in Program Reverse Engineering [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2016), Raleigh, NC. External link
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. External link
Wang, S., Khomh, F., & Zou, Y. (2013, May). Improving bug localization using correlations in crash reports [Paper]. 10th Working Conference on Mining Software Repositories (MSR 2013), San Francisco, CA, USA. External link
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. External link
Xie, S., Khomh, F., Zou, Y., & Keivanloo, I. (2014, February). An empirical study on the fault-proneness of clone migration in clone genealogies [Paper]. IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE 2014), Antwerp, Belgium. External link
Xie, S., Khomh, F., & Zou, Y. (2013, May). An empirical study of the fault-proneness of clone mutation and clone migration [Paper]. 10th Working Conference on Mining Software Repositories (MSR 2013), San Francisco, CA, USA. External link
Xiao, H., Upadhyaya, B., Khomh, F., Zou, Y., Ng, J., & Lau, A. (2011, July). An Automatic Approach for Extracting Process Knowledge from the Web [Paper]. IEEE International Conference on Web Services (ICWS 2011), Washington DC, USA. External link
Yahmed, A. H., Allah Abbassi, A., Nikanjam, A., Li, H., & Khomh, F. (2023, October). Deploying deep reinforcement learning systems: a taxonomy of challenges [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2023), Bogota, Colombia. External link
Yin Ho, S. C., Majdinasab, V., Islam, M., Costa, D. E., Shihab, E., Khomh, F., Nadi, S., & Raza, M. (2023, October). An Empirical Study on Bugs Inside PyTorch: A Replication Study [Paper]. 39th IEEE International Conference on Software Maintenance and Evolution (ICSME 2023), Bogota, Colombia. External link
Yahmed, A. H., Bouchoucha, R., Ben Braiek, H., & Khomh, F. (2023, September). An Intentional Forgetting-Driven Self-Healing Method for Deep Reinforcement Learning Systems [Paper]. 38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023), Echternach, Luxembourg. External link
Yousefifeshki, F., Li, H., & Khomh, F. (2023). Studying the challenges of developing hardware description language programs. Information and Software Technology, 159, 16 pages. External link
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). External link
Yamashita, A., Petrillo, F., Khomh, F., & Guéhéneuc, Y.-G. (2018, May). Developer interaction traces backed by IDE screen recordings from think aloud sessions [Paper]. 15th ACM/IEEE International Conference on Mining Software Repositories (MSR 2018), Gothenburg, Sweden. External link
Yamashita, A., Petrillo, F., Khomh, F., & Guéhéneuc, Y.-G. (2017). Empirical Data From A Longitudinal Software Maintenance Experiment [Dataset]. External link
Yamashita, A., Abtahizadeh, S. A., Khomh, F., & Guéhéneuc, Y.-G. (2017, May). Software evolution and defects from controlled, multiple industrial case studies [Paper]. 14th International Conference on Mining Software Repositories (MSR 2017), Buenos Aires, Argentina (4 pages). External link
Yamashita, A., Abtahizadeh, S. A., Khomh, F., & Guéhéneuc, Y.-G. (2017, May). Software Evolution and Quality Data from Controlled, Multiple, Industrial Case Studies [Paper]. IEEE/ACM 14th International Conference on Mining Software Repositories (MSR 2017), Buenos Aires, Argentina. External link
Yamashita, A., Guéhéneuc, Y.-G., Khomh, F., & Abtahizadeh, A. (2017). Software Evolution And Quality Data From Controlled, Multiple, Industrial Case Studies [Dataset]. External link
Zid, C., Belias, F., Di Penta, M., Khomh, F., & Antoniol, G. (2024, March). List Comprehension Versus for Loops Performance in Real Python Projects: Should we Care? [Paper]. 31st IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2024), Rovaniemi, Finland. External link
Zid, C., Humeniuk, D., Khomh, F., & Antoniol, G. (2020, June). Double cycle hybrid testing of hybrid distributed IoT system [Paper]. IEEE/ACM 42nd International Conference on Software Engineering Workshops (ICSEW 2020), Seoul, Republic of Korea. External link
Zampetti, F., Noiseux, C., Antoniol, G., Khomh, F., & Di Penta, M. (2017, September). Recommending When Design Technical Debt Should Be Self-Admitted [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2017), Shanghai, China. External link
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. External link
Zhang, F., Mockus, A., Zou, Y., Khomh, F., & Hassan, A. E. (2013, September). How does context affect the distribution of software maintainability metrics? [Paper]. 29th IEEE International Conference on Software Maintenance (ICSM 2013), Eindhoven, Netherlands. External link
Zhang, F., Khomh, F., Zou, Y., & Hassan, A. E. (2012, October). An empirical study of the effect of file editing patterns on software quality [Paper]. 19th Working Conference on Reverse Engineering (WCRE 2012), Kingston, ON, Canada. External link
Zhang, F., Khomh, F., Zou, Y., & Hannan, A. E. (2012, October). An empirical study on factors impacting bug fixing time [Paper]. 19th Working Conference on Reverse Engineering (WCRE 2012), Kingston, ON, Canada. External link
Zhao, X., Khomh, F., & Zou, Y. (2011, July). Improving the Modifiability of the Architecture of Business Applications [Paper]. International Conference on Quality Software (QSIC 2011), Madrid, Spain. External link
