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Predicting Build Co-changes with Source Code Change and Commit Categories.

, , and . SANER, page 541-551. IEEE Computer Society, (2016)

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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)Orchestrating change: An artistic representation of software evolution., , and . CSMR-WCRE, page 348-352. IEEE Computer Society, (2014)An empirical study of design discussions in code review., , , , and . ESEM, page 11:1-11:10. ACM, (2018)A large-scale study of the impact of feature selection techniques on defect classification models., , and . MSR, page 146-157. IEEE Computer Society, (2017)Mining Co-change Information to Understand When Build Changes Are Necessary., , , and . ICSME, page 241-250. IEEE Computer Society, (2014)Forecasting the Duration of Incremental Build Jobs., , and . ICSME, page 524-528. IEEE Computer Society, (2017)