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What Can OSS Mailing Lists Tell Us? A Preliminary Psychometric Text Analysis of the Apache Developer Mailing List.

, and . MSR, page 23. IEEE Computer Society, (2007)

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Improving test effectiveness using test executions history: an industrial experience report., , and . ICSE (SEIP), page 213-222. IEEE / ACM, (2019)Improving Bug Triaging with High Confidence Predictions at Ericsson., , and . ICSME, page 81-91. IEEE, (2019)Peer Review on Open-Source Software Projects: Parameters, Statistical Models, and Theory., , , and . ACM Trans. Softw. Eng. Methodol., 23 (4): 35:1-35:33 (2014)Improving Code Reviewer Recommendation: Accuracy, Latency, Workload, and Bystanders., , , , , , , and . CoRR, (2023)Multi-line AI-assisted Code Authoring., , , , , , , , , and 2 other author(s). CoRR, (2024)Bisecting commits and modeling commit risk during testing., , and . ESEC/SIGSOFT FSE, page 279-289. ACM, (2019)Leveraging test plan quality to improve code review efficacy., , , , , and . ESEC/SIGSOFT FSE, page 1320-1330. ACM, (2022)Dead Code Removal at Meta: Automatically Deleting Millions of Lines of Code and Petabytes of Deprecated Data., , , , , , , , , and 2 other author(s). ESEC/SIGSOFT FSE, page 1705-1715. ACM, (2023)The influence of App churn on App success and StackOverflow discussions., , and . SANER, page 321-330. IEEE Computer Society, (2015)Mining Historical Test Failures to Dynamically Batch Tests to Save CI Resources., and . ICSME, page 217-226. IEEE, (2021)