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| Content Provider | ACM Digital Library |
|---|---|
| Author | Dai, Meixi Zhang, Tao Zhao, Min Shen, Beijun |
| Abstract | By analyzing histories of program versions, many researches have shown that software quality is associated with history-related metrics, such as code-related metrics, commit-related metrics, developer-related metrics, process-related metrics, and organizational metrics etc. It has also been revealed that consecutive changes on commit-level are strongly associated with software defects. In this paper, we introduce two novel concepts of consecutive changes: CFC (chain of consecutive bug-fixing file versions) and CAC (chain of consecutive file versions where each pair of adjacent versions are submitted by different developers). And then several experiments are conducted to explore the correlation between consecutive changes and software quality by using three open-source projects from Github. Our main findings include: 1) CFCs and CACs widely exist in file version histories; 2) Consecutive changes have a negative and strong impact on the later file versions in a short term, especially when the length of consecutive change chain is 4 or 5. . |
| Starting Page | 17 |
| Ending Page | 24 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781450329651 |
| DOI | 10.1145/2627508.2627512 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2014-05-26 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Mining software repository Consecutive change Software quality File version histories |
| Content Type | Text |
| Resource Type | Article |
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