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
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;
Journal_Title :
Software Engineering, IEEE Transactions on
DOI :
10.1109/TSE.2011.93