NDLI: CoREBench: studying complexity of regression errors

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CoREBench: studying complexity of regression errors

Content Provider	ACM Digital Library
Author	Roychoudhury, Abhik Böhme, Marcel
Abstract	Intuitively we know, some software errors are more complex than others. If the error can be fixed by changing one faulty statement, it is a simple error. The more substantial the fix must be, the more complex we consider the error. In this work, we formally define and quantify the complexity of an error w.r.t. the complexity of the error's least complex, correct fix. As a concrete measure of complexity for such fixes, we introduce Cyclomatic Change Complexity which is inspired by existing program complexity metrics. Moreover, we introduce CoREBench, a collection of 70 regression errors systematically extracted from several open-source C-projects and compare their complexity with that of the seeded errors in the two most popular error benchmarks, SIR and the Siemens Suite. We find that seeded errors are significantly less complex, i.e., require significantly less substantial fixes, compared to actual regression errors. For example, among the seeded errors more than 42% are simple compared to 8% among the actual ones. This is a concern for the external validity of studies based on seeded errors and we propose CoREBench for the controlled study of regression testing, debugging, and repair techniques. .
Starting Page	105
Ending Page	115
Page Count	11
File Format	PDF
ISBN	9781450326452
DOI	10.1145/2610384.2628058
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-07-21
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Regression Error complexity Coupling effect
Content Type	Text
Resource Type	Article

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