Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Peter C. Rigby"'
Publikováno v:
IEEE Transactions on Software Engineering. 48:2784-2801
Publikováno v:
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering.
Autor:
Lawrence Chen, Rui Abreu, Tobi Akomolede, Peter C. Rigby, Satish Chandra, Nachiappan Nagappan
Publikováno v:
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering.
Autor:
Yifen Chen, Peter C. Rigby, Yulin Chen, Kun Jiang, Nader Dehghani, Qianying Huang, Peter Cottle, Clayton Andrews, Noah Lee, Nachiappan Nagappan
Publikováno v:
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering.
Autor:
Qianhua Shan, David Sukhdeo, Qianying Huang, Seth Rogers, Lawrence Chen, Elise Paradis, Peter C. Rigby, Nachiappan Nagappan
Publikováno v:
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering.
Autor:
Emad Fallahzadeh, Peter C. Rigby
Publikováno v:
2022 IEEE/ACM 44th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP).
Publikováno v:
Empirical Software Engineering. 25:3323-3356
In contrast to studies of defects found during code review, we aim to clarify whether code review measures can explain the prevalence of post-release defects. We replicate McIntosh et al.’s (Empirical Softw. Engg. 21(5): 2146–2189, 2016) study th
Autor:
Amir Hossein Bavand, Peter C. Rigby
Publikováno v:
ICSME
Autor:
Peter C. Rigby, Maaz Hafeez Ur Rehman
Publikováno v:
ESEC/SIGSOFT FSE
A test fails and despite an investigation by a developer there is no fault found (NFF). Large software systems are often released with known failing and flaky tests. In this work, we quantify how often a test fails and does not find a fault. We condu
Autor:
Peter C. Rigby, Ehsan Mirsaeedi
Publikováno v:
ICSE
Developer turnover is inevitable on software projects and leads to knowledge loss, a reduction in productivity, and an increase in defects. Mitigation strategies to deal with turnover tend to disrupt and increase workloads for developers. In this wor