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11th International Symposium on Software Reliability Engineering (ISSRE'00)
Planner Based Error Recovery Testing
San Jose, California
October 08-October 11
ISBN: 0-7695-0807-3
Anneliese von Mayrhauser, Colorado State University
Michael Scheetz, Colorado State University
Eric Dahlman, Colorado State University
Adele E. Howe, Colorado State University
Error recovery testing is an important part of software testing, especially for safety-critical systems. We show how an AI planning system and concepts of mutation testing can be combined to generate error recovery tests for software. We identify a set of mutation operations on the representation that the planner uses when generating test cases. These mutations cause error recovery test cases to be generated. The paper applies these concepts to the testing of a large tape storage system.
Citation:
Anneliese von Mayrhauser, Michael Scheetz, Eric Dahlman, Adele E. Howe, "Planner Based Error Recovery Testing," issre, pp.186, 11th International Symposium on Software Reliability Engineering (ISSRE'00), 2000
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