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Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)
Prioritized Constraints with Data Sampling Scores for Automatic Test Data Generation
Haier International Training Center, Qingdao, China
July 30-August 01
ISBN: 0-7695-2909-7
Xiao Ma, Avaya Labs Research
J. Jenny Li, Avaya Labs Research
David M. Weiss, Avaya Labs Research
Many automatic test data generation approaches use constraint solvers to find data values, e.g. the method given in [1]. One problem with this method is that it cannot generate test data when the constraints are not solvable, either because there is no solution or the constraints are too complex. We propose a constraint prioritization method using data sampling scores to generate valid test data even when a set of constraints is not solvable. Our case study illustrates the effectiveness of this method.
Index Terms:
Test case generation, test automation, constraint solving, software reliability.
Citation:
Xiao Ma, J. Jenny Li, David M. Weiss, "Prioritized Constraints with Data Sampling Scores for Automatic Test Data Generation," snpd, vol. 3, pp.1129-1134, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
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