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A Replication Study on the Usability of Code Vocabulary in Predicting Flaky Tests.

, , , , and . MSR, page 219-229. IEEE, (2021)

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An empirical study of async wait flakiness in front-end testing., , , , and . BENEVOL, volume 3245 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)What Made This Test Flake? Pinpointing Classes Responsible for Test Flakiness., , , , , , and . ICSME, page 352-363. IEEE, (2022)The rise of Android code smells: who is to blame?, , and . MSR, page 445-456. IEEE / ACM, (2019)Understanding Mobile-Specific Code Smells. (Comprendre les défauts de code spécifiques aux applications mobiles).. University of Lille, INRIA, France, (2019)On the survival of Android code smells in the wild., , and . MOBILESoft@ICSE, page 87-98. IEEE / ACM, (2019)A Replication Study on the Usability of Code Vocabulary in Predicting Flaky Tests., , , , and . MSR, page 219-229. IEEE, (2021)On the Costs and Benefits of Adopting Lifelong Learning for Software Analytics - Empirical Study on Brown Build and Risk Prediction., , , , , and . ICSE-SEIP, page 275-286. ACM, (2024)The Importance of Discerning Flaky from Fault-triggering Test Failures: A Case Study on the Chromium CI., , , , and . CoRR, (2023)FlakyCat: Predicting Flaky Tests Categories using Few-Shot Learning., , , , and . AST, page 140-151. IEEE, (2023)A Qualitative Study on the Sources, Impacts, and Mitigation Strategies of Flaky Tests., , , , and . ICST, page 244-255. IEEE, (2022)