Title :
Planner based error recovery testing
Author :
Von Mayrhauser, Anneliese ; Scheetz, Michael ; Dahlman, Eric ; Howe, Adele E.
Author_Institution :
Dept. of Comput. Sci., Colorado State Univ., Fort Collins, CO, USA
Abstract :
Error recovery testing is an important part of software testing, especially for safety-critical systems. We show how an AI planning system and the 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
Keywords :
automatic testing; magnetic tape storage; planning (artificial intelligence); program testing; safety-critical software; system recovery; AI planning system; mutation operations; mutation testing; planner-based error recovery testing; safety-critical systems; software testing; tape storage system; test case generation; Artificial intelligence; Automatic testing; Computer errors; Genetic mutations; Libraries; Robotics and automation; Software testing; Storage automation; System testing; Technology planning;
Conference_Titel :
Software Reliability Engineering, 2000. ISSRE 2000. Proceedings. 11th International Symposium on
Conference_Location :
San Jose, CA
Print_ISBN :
0-7695-0807-3
DOI :
10.1109/ISSRE.2000.885871
