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

fYear

2000

fDate

2000

Firstpage

186

Lastpage

195

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Reliability Engineering, 2000. ISSRE 2000. Proceedings. 11th International Symposium on

Conference_Location

San Jose, CA

ISSN

1071-9458

Print_ISBN

0-7695-0807-3

Type

conf

DOI

10.1109/ISSRE.2000.885871

Filename

885871