EvoSuite: automatic test suite generation for object-oriented software
Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering
On parameter tuning in search based software engineering
SSBSE'11 Proceedings of the Third international conference on Search based software engineering
Bytecode testability transformation
SSBSE'11 Proceedings of the Third international conference on Search based software engineering
Combining search-based and constraint-based testing
ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
Search-based system testing: high coverage, no false alarms
Proceedings of the 2012 International Symposium on Software Testing and Analysis
Isolating failure causes through test case generation
Proceedings of the 2012 International Symposium on Software Testing and Analysis
Sound empirical evidence in software testing
Proceedings of the 34th International Conference on Software Engineering
EXSYST: search-based GUI testing
Proceedings of the 34th International Conference on Software Engineering
Evolutionary testing of PHP web applications with WETT
SSBSE'12 Proceedings of the 4th international conference on Search Based Software Engineering
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Recent advances in software testing allow automatic derivation of tests that reach almost any desired point in the source code. There is, however, a fundamental problem with the general idea of targeting one distinct test coverage goal at a time: Coverage goals are neither independent of each other, nor is test generation for any particular coverage goal guaranteed to succeed. We present EvoSuite, a search-based approach that optimizes whole test suites towards satisfying a coverage criterion, rather than generating distinct test cases directed towards distinct coverage goals. Evaluated on five open source libraries and an industrial case study, we show that EvoSuite achieves up to 18 times the coverage of a traditional approach targeting single branches, with up to 44% smaller test suites.