| [stoerzer06fse] | Maximilian Störzer, Barbara Ryder, Xiaoxia Ren, Frank Tip, Finding Failure Inducing Changes in Java Programs using Change Classification, 14th ACM SIGSOFT Symposium on Foundations of Software Engineering, Portland, Oregon, USA, November 2006. | 
	Zusammenfassung
	
		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. We explore 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.
 We implemented our change classification tool JUnit/CIA as an extension
 to the JUnit component within Eclipse, and evaluated its effectiveness
 in two case studies. Our results indicate that change classification
 is an effective technique for finding failure-inducing changes.	
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