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Why Did This Reviewed Code Crash? An Empirical Study of Mozilla Firefox.

, , , and . APSEC, page 396-405. IEEE, (2018)

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Why Did This Reviewed Code Crash? An Empirical Study of Mozilla Firefox., , , and . APSEC, page 396-405. IEEE, (2018)Quantifying, Characterizing, and Mitigating Flakily Covered Program Elements., , and . IEEE Trans. Software Eng., 48 (3): 1018-1029 (2022)An Empirical Comparison of Model Validation Techniques for Defect Prediction Models., , , and . IEEE Trans. Software Eng., 43 (1): 1-18 (2017)How Does Code Reviewing Feedback Evolve?: A Longitudinal Study at Dell EMC., , and . ICSE (SEIP), page 151-160. IEEE, (2022)Is Historical Data an Appropriate Benchmark for Reviewer Recommendation Systems? : A Case Study of the Gerrit Community., , , and . ASE, page 30-41. IEEE, (2021)An empirical study of design discussions in code review., , , , and . ESEM, page 11:1-11:10. ACM, (2018)Orchestrating change: An artistic representation of software evolution., , and . CSMR-WCRE, page 348-352. IEEE Computer Society, (2014)A large-scale study of the impact of feature selection techniques on defect classification models., , and . MSR, page 146-157. IEEE Computer Society, (2017)Characterizing the Prevalence, Distribution, and Duration of Stale Reviewer Recommendations., , and . IEEE Trans. Software Eng., 50 (8): 2096-2109 (August 2024)A Mutation-Guided Assessment of Acceleration Approaches for Continuous Integration: An Empirical Study of YourBase., , , , and . MSR, page 556-568. ACM, (2024)