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Article
Coevolutionary Automated Software Correction
Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10
  • Josh L. Wilkerson
  • Daniel R. Tauritz, Missouri University of Science and Technology
Abstract

This paper presents the Coevolutionary Automated Software Correction system, which 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 on the same test problem employed in the published results on the previous state-of-the-art automated software correction system.

Meeting Name
12th Annual Genetic and Evolutionary Computation Conference, GECCO-2010 (2010: Jul. 7-11, Portland, OR)
Department(s)
Computer Science
Keywords and Phrases
  • Automated Debugging,
  • Coevolution,
  • Genetic Programming,
  • Repair,
  • Search-Based Testing
International Standard Book Number (ISBN)
9781450300728
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2010 Association for Computing Machinery (ACM), All rights reserved.
Publication Date
1-1-2010
Disciplines
Citation Information
Josh L. Wilkerson and Daniel R. Tauritz. "Coevolutionary Automated Software Correction" Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 (2010) p. 1391 - 1392
Available at: http://works.bepress.com/daniel-tauritz/23/