DocumentCode
1321407
Title
Mutation-Driven Generation of Unit Tests and Oracles
Author
Fraser, Gordon ; Zeller, Andreas
Author_Institution
Software Eng. Dept., Saarland Univ.-Comput. Sci., Saarbrucken, Germany
Volume
38
Issue
2
fYear
2012
Firstpage
278
Lastpage
292
Abstract
To assess the quality of test suites, mutation analysis seeds artificial defects (mutations) into programs; a nondetected mutation indicates a weakness in the test suite. We present an automated approach to generate unit tests that detect these mutations for object-oriented classes. This has two advantages: First, the resulting test suite is optimized toward finding defects modeled by mutation operators rather than covering code. Second, the state change caused by mutations induces oracles that precisely detect the mutants. Evaluated on 10 open source libraries, our μtest prototype generates test suites that find significantly more seeded defects than the original manually written test suites.
Keywords
automatic test pattern generation; object-oriented programming; optimisation; program testing; artificial defects; automated test case generation; mutation driven generation; mutation operators; object-oriented classes; open source libraries; optimization; oracle; test suites quality; unit test; Biological cells; Generators; Genetic algorithms; Libraries; Software; Software algorithms; Testing; Mutation analysis; assertions; search-based testing.; test case generation; test oracles; unit testing;
fLanguage
English
Journal_Title
Software Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0098-5589
Type
jour
DOI
10.1109/TSE.2011.93
Filename
6019060
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