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Overview:
Testing and code editing are interleaved activities during program development. When tests fail unexpectedly, the changes that caused the failure(s) are not always easy to find. The paper explores how change classification can focus programmer attention on failure-inducing changes by automatically labeling changes Red, Yellow, or Green, indicating the likelihood that they have contributed to a test failure. The paper implemented the change classification tool JUnit/CIA as an extension to the JUnit component within Eclipse, and evaluated its effectiveness in two case studies. The results indicate that change classification is an effective technique for finding failure-inducing changes.
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| Format: | Size: | 250 KB | |
| Date: | Nov 2006 | ||
| Pages: | 12 |
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