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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
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
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
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
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
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
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
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., & 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
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). Non disponible
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., 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
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
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
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
