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Kazemi, F., Lamothe, M., & McIntosh, S. (2024). Characterizing the Prevalence Distribution and Duration of Stale Reviewer Recommendations. IEEE Transactions on Software Engineering, 3422369 (14 pages). External link
Zeng, Z., Xiao, T., Lamothe, M., Hata, H., & McIntosh, S. (2024). How Trustworthy is Your CI Accelerator? A Comparison of the Trustworthiness of CI Acceleration Products. IEEE Software, 3395616 (6 pages). External link
Zeng, Z., Xiao, T., Lamothe, M., Hata, H., & McIntosh, S. (2023). Online appendix. Zenodo (CERN European Organization for Nuclear Research). External link
Meidani, M., Lamothe, M., & McIntosh, S. (2023). Assessing the exposure of software changes: The DiPiDi approach. Empirical Software Engineering, 28(2), 36 pages. External link
Bezemer, C.-P., McIntosh, S., Adams, B., Germán, D. M., & Hassan, A. E. (2017). An empirical study of unspecified dependencies in make-based build systems. Empirical Software Engineering, 22(6), 3117-3148. External link
McIntosh, S., Adams, B., Nagappan, M., & Hassan, A. E. (2016). Identifying and understanding header file hotspots in C/C plus plus build processes. Automated Software Engineering, 23(4), 619-647. External link
McIntosh, S., Kamei, Y., Adams, B., & Hassan, A. E. (2015). An empirical study of the impact of modern code review practices on software quality. Empirical Software Engineering, 21(5), 2146-2189. External link
McIntosh, S., Nagappan, M., Adams, B., Mockus, A., & Hassan, A. E. (2015). A Large-Scale Empirical Study of the Relationship between Build Technology and Build Maintenance. Empirical Software Engineering, 20(6), 1587-1633. External link
Kazemi, F., Lamothe, M., & McIntosh, S. (2025, October). Interrogative Comments Posed by Review Comment Generators: An Empirical Study of Gerrit [Paper]. International Symposium on Empirical Software Engineering and Measurement (ESEM 2025), Honolulu, HI, USA (12 pages). External link
Zeng, Z., Xiao, T., Lamothe, M., Hata, H., & McIntosh, S. (2024, April). A Mutation-Guided Assessment of Acceleration Approaches for Continuous Integration: An Empirical Study of YourBase [Paper]. 2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR 2024), Lisbon, Portugal. External link
Kazemi, F., Lamothe, M., & McIntosh, S. (2022, October). Exploring the notion of risk in code reviewer recommendation [Paper]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2022), Limassol, Cyprus. External link
Wen, R., Lamothe, M., & McIntosh, S. (2022, May). How does code reviewing feedback evolve?: A longitudinal study at Dell EMC [Paper]. IEEE/ACM 44th International Conference on Software Engineering: Software Engineering in Practice (ICSE 2022), Pittsburgh, PA, USA. External link
Gallaba, K., Lamothe, M., & McIntosh, S. (2022, May). Lessons from eight years of operational data from a continuous integration service: An exploratory case study of CircleCI [Paper]. IEEE/ACM 44th International Conference on Software Engineering (ICSE 2022), Pittsburgh, PA, USA. External link
Gauthier, I. X., Lamothe, M., Mussbacher, G., & McIntosh, S. (2021, November). Is Historical Data an Appropriate Benchmark for Reviewer Recommendation Systems? : AA Case Study of the Gerrit Community [Paper]. 36th IEEE/ACM International Conference on Automated Software Engineering (ASE 2021), Melbourne, Australia. 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
Adams, B., & McIntosh, S. (2016, March). Modern release engineering in a nutshell - why researchers should care [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
McIntosh, S., Poehlmann, M., Juergens, E., Mockus, A., Adams, B., Hassan, A. E., Haupt, B., & Wagner, C. (2014, May). Collecting and leveraging a benchmark of build system clones to aid in quality assessments [Paper]. 36th International Conference on Software Engineering (ICSE Companion 2014), Hyderabad, India. External link
McIntosh, S., Kamei, Y., Adams, B., & Hassan, A. E. (2014, May). The impact of code review coverage and code review participation on Software quality: A case study of the Qt, VTK, and ITK projects [Paper]. 11th International Working Conference on Mining Software Repositories (MSR 2014), Hyderabad, India. External link
McIntosh, S., Adams, B., Nagappan, M., & Hassan, A. E. (2014, September). Mining co-change information to understand when build changes are necessary [Paper]. 30th IEEE International Conference on Software Maintenance and Evolution (ICSME 2014), Victoria, BC, Canada. External link
Kazemi, F., Lamothe, M., & McIntosh, S. (2024). Replication package and online appendix for "Characterizing the impact, distribution, and duration of stale reviewer recommendations" [Dataset]. External link
Kazemi, F., Lamothe, M., & McIntosh, S. (2022). Dataset of the study "Exploring the notion of risk in reviewer recommendation" [Dataset]. External link
