Zhili Zeng, Tao Xiao, Maxime Lamothe
, Hideaki Hata and Shane McIntosh
Paper (2024)
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| Department: | Department of Computer Engineering and Software Engineering |
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| PolyPublie URL: | https://publications.polymtl.ca/59083/ |
| Conference Title: | 2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR 2024) |
| Conference Location: | Lisbon, Portugal |
| Conference Date(s): | 2024-04-15 - 2024-04-16 |
| Publisher: | IEEE |
| DOI: | 10.1145/3643991.3644914 |
| Official URL: | https://doi.org/10.1145/3643991.3644914 |
| Date Deposited: | 27 Aug 2024 13:52 |
| Last Modified: | 25 Sep 2024 16:51 |
| Cite in APA 7: | 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. https://doi.org/10.1145/3643991.3644914 |
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