Documents publiés en "2021"

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Barrak, A., Eghan, E. E., & Adams, B. (mars 2021). On the Co-evolution of ML Pipelines and Source Code - Empirical Study of DVC Projects [Communication écrite]. 28th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2021), Honolulu, HI, USA. 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

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Ferreira, I., Cheng, J., & Adams, B. (2021). The "Shut the f**k up" Phenomenon: Characterizing Incivility in Open Source Code Review Discussions. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW2), 1-35. Lien externe

Foundjem, A., Eghan, E. E., & Adams, B. (mai 2021). Onboarding vs. Diversity, Productivity and Quality — Empirical Study of the OpenStack Ecosystem [Communication écrite]. 43rd IEEE/ACM International Conference on Software Engineering (ICSE 2021). Lien externe

Foundjem, A., Eghan, E. E., & Adams, B. (mai 2021). An Open Dataset for Onboarding new Contributors–Empirical Study of OpenStack Ecosystem [Communication écrite]. 43rd IEEE/ACM International Conference on Software Engineering: Companion Proceedings (ICSE-Companion 2021). Lien externe

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Grichi, M., Abidi, M., Jaafar, F., Eghan, E. E., & Adams, B. (décembre 2020). On the Impact of Interlanguage Dependencies in Multilanguage Systems Empirical Case Study on Java Native Interface Applications (JNI) [Résumé]. 20th International Conference on Software Quality, Reliability, and Security (QRS 2020), Macau, China. Publié dans IEEE Transactions on Reliability, 70(1). Lien externe

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Li, H., Shang, W., Adams, B., Sayagh, M., & Hassan, A. E. (2021). A qualitative study of the benefits and costs of logging from developers' perspectives. IEEE Transactions on Software Engineering, 47(12), 2858-2873. Lien externe

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Njomou, A. T., Johanne Bifona Africa, A., Adams, B., & Fokaefs, M.-E. (mars 2021). MSR4ML: Reconstructing Artifact Traceability in Machine Learning Repositories [Communication écrite]. IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2021), Honolulu, HI, USA. Lien externe

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Quach, S., Lamothe, M., Adams, B., Kamei, Y., & Shang, W. (2021). Evaluating the impact of falsely detected performance bug-inducing changes in JIT models. Empirical Software Engineering, 26(5). Lien externe

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Sanei, A., Cheng, J., & Adams, B. (mai 2021). The Impacts of Sentiments and Tones in Community-Generated Issue Discussions [Communication écrite]. 13th IEEE/ACM International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE 2021) (10 pages). Lien externe

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Xiu, M., Jiang, Z. M. J., & Adams, B. (2021). An Exploratory Study on Machine-Learning Model Stores. IEEE Software, 38(1), 114-122. Lien externe