Test Case Generation as an AI Planning Problem
Automated Software Engineering
Rapid goal-oriented automated software testing using MEA-graph planning
Software Quality Control
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Software testing criteria produce test descriptions that may be viewed as systems of constraints describing desired test cases. "Refinement" of test descriptions is possible by adding additional constraints to each test description, reducing the solution space and focusing attention upon tests that are more likely to reveal faults. This paper describes the structure of a knowledge base intended to capture potentially useful refinements, based either upon the expert knowledge of a tester or upon the record or software faults uncovered in prior, related projects.