Much research has investigated the common reasons for build breakages. However, prior research has paid little attention to builds that may break due to reasons that are unlikely to be related to development activities. For example, Continuous Integration (CI) builds may break due to timeout or connection errors while generating the build. Such kinds of build breakages potentially introduce noises to build breakage data, which can lead to misleading results when performing research on CI builds. In this paper, we identify three types of noisy build breakages, namely Environmental, Cascading, and Allowed breakages. Our results reveal that over 50% of build breakages can be noisy. Moreover, we measure the impact of using noisy data on modeling the build breakage. We observe that findings from prior research may not hold if noisy build breakages are excluded from datasets. Therefore, researchers should be more careful about the quality of build breakage data.
Sat 11 JulDisplayed time zone: (UTC) Coordinated Universal Time change
01:05 - 02:05 | |||
01:05 8mTalk | Studying the Impact of Noises in Build Breakage DataJ1 Journal First Taher A Ghaleb Queen's University, Daniel Alencar Da Costa University of Otago, Ying Zou Queen's University, Kingston, Ontario, Ahmed E. Hassan Queen's University Link to publication DOI Pre-print | ||
01:13 12mTalk | Taming Behavioral Backward Incompatibilities via Cross-Project Testing and AnalysisTechnical Technical Papers Lingchao Chen The University of Texas at Dallas, Foyzul Hassan University of Texas at San Antonio, USA, Xiaoyin Wang University of Texas at San Antonio, USA, Lingming Zhang The University of Texas at Dallas | ||
01:25 12mTalk | Watchman: Monitoring Dependency Conflicts for Python Library Ecosystem Technical Papers Ying Wang Northeastern University, China, Ming Wen Huazhong University of Science and Technology, China, Yepang Liu Southern University of Science and Technology, Yibo Wang Northeastern University, Zhenming Li Northeastern University, Chao Wang University of Southern California, Hai Yu Northeastern University, China, Shing-Chi Cheung Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Chang Xu Nanjing University, Zhiliang Zhu Northeastern University, China | ||
01:37 12mTalk | How Has Forking Changed in the Last 20 Years? A Study of Hard Forks on GitHubTechnical Technical Papers Shurui Zhou Carnegie Mellon University, USA / University of Toronto, CA, Bogdan Vasilescu Carnegie Mellon University, Christian Kästner Carnegie Mellon University Pre-print | ||