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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
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
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
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
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. (2024). Characterizing the Prevalence Distribution and Duration of Stale Reviewer Recommendations. IEEE Transactions on Software Engineering, 3422369 (14 pages). 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
Kazemi, F., Lamothe, M., & McIntosh, S. (2022). Dataset of the study "Exploring the notion of risk in reviewer recommendation" [Dataset]. 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
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
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
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., 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
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
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
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. (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
Zeng, Z., Xiao, T., Lamothe, M., Hata, H., & McIntosh, S. (2023). Online appendix. Zenodo (CERN European Organization for Nuclear Research). External link
