Automated Software Test Data Generation
IEEE Transactions on Software Engineering
Evolutionary testing of classes
ISSTA '04 Proceedings of the 2004 ACM SIGSOFT international symposium on Software testing and analysis
Search-based software test data generation: a survey: Research Articles
Software Testing, Verification & Reliability
Mining object behavior with ADABU
Proceedings of the 2006 international workshop on Dynamic systems analysis
ICSE '07 Proceedings of the 29th international conference on Software Engineering
Experimental assessment of random testing for object-oriented software
Proceedings of the 2007 international symposium on Software testing and analysis
Contract driven development = test driven development - writing test cases
Proceedings of the the 6th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
TestFul: automatic unit-test generation for Java classes
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 2
Transition coverage testing for simulink/stateflow models using messy genetic algorithms
Proceedings of the 13th annual conference on Genetic and evolutionary computation
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This paper introduces TestFul, a framework for testing stateful systems and focuses on object-oriented software. TestFul employs a hybrid multi-objective evolutionary algorithm, to explore the space of feasible tests efficiently, and novel quality metrics, based on both def-use pairs and behavioral coverage, to judge the quality of tests. We compare our framework against random testing by considering the level of coverage, the size of generated tests, and the time required to generate the tests. Our preliminary results show the validity of the approach: TestFul outperforms random testing in most of the cases.