Scalability of the Coevolutionary Automated Software Correction SystemProceedings of the 13th Annual Genetic and Evolutionary Computation Conference, GECCO'11
AbstractThe Coevolutionary Automated Software Correction system addresses in an integral and fully automated manner the complete cycle of software artifact testing, error location, and correction phases. It employs a coevolutionary approach where software artifacts and test cases are evolved in tandem. The test cases evolve to better find flaws in the software artifacts and the software artifacts evolve to better behave to specification when exposed to the test cases, thus causing an evolutionary arms race. Experimental results are presented which demonstrate the scalability of the Coevolutionary Automated Software Correction system by establishing correlations between program size and both success rate and estimated convergence rate that are at most linear.
Meeting Name13th Annual Genetic and Evolutionary Computation Conference, GECCO'11 (2011: Jul. 12-16, Dublin, Ireland)
Sponsor(s)Missouri University of Science and Technology. Natural Computation Laboratory
Keywords and Phrases
- Automated Debugging,
- Genetic Programming,
- Search-Based Testing
International Standard Book Number (ISBN)9781450306904
Document TypeArticle - Conference proceedings
Rights© 2011 Association for Computing Machinery (ACM), All rights reserved.
Citation InformationJosh L. Wilkerson and Daniel R. Tauritz. "Scalability of the Coevolutionary Automated Software Correction System" Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, GECCO'11 (2011) p. 243 - 244
Available at: http://works.bepress.com/daniel-tauritz/60/