Heuristics-based infeasible path detection for dynamic test data generation
Author:
Publisher
Elsevier BV
Subject
Computer Science Applications,Information Systems,Software
Reference43 articles.
1. Numerical methods for constrained optimization, Academic Press, 1974.
2. R. Bodik, R. Gupta, M.L. Soffa, Interprocedural conditional branch elimination, presented at Proceedings of the 1997 ACM SIGPLAM Conference on Programming Language Design and Implementation, PLDI, June 15–18 1997, Las Vegas, NV, USA, 1997.
3. R. Bodik, R. Gupta, M.L. Soffa, Refining data flow information using infeasible paths, Software Engineering Notes ESEC/FSE ‘97, 6th European Software Engineering Conference Held Jointly with the 5th ACM SIGSOFT Symposium on the Foundations of Software Engineering, 22–25 September 1997, vol. 22, pp. 361–77, 1997.
4. P.M.S. Bueno, M. Jino, Identification of potentially infeasible program paths by monitoring the search for test data, presented at Proceedings of ASE 2000 15th IEEE International Automated Software Engineering Conference, 11–15 September 2000, Grenoble, France, 2000.
5. Automatic test data generation for program paths using genetic algorithms;Bueno;International Journal of Software Engineering and Knowledge Engineering,2002
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