DocumentCode :
3418859
Title :
Generating goal-oriented test cases
Author :
Von Mayrhauser, Anneliese ; Scheetz, Michael ; Dahlman, Eric
Author_Institution :
Dept. of Comput. Sci., Colorado State Univ., Fort Collins, CO, USA
fYear :
1999
fDate :
1999
Firstpage :
110
Lastpage :
115
Abstract :
The paper describes an AI planner assisted approach to generate test cases for system testing based on high level test objectives. Test generation is based on an extended UML model of the system under test and a mapping of high level test objectives into initial and goal conditions of the planner. We illustrate the use of this approach on a series of high level test objectives one might apply to a robot controlled tape silo
Keywords :
object-oriented languages; planning (artificial intelligence); program testing; robots; AI planner assisted approach; extended UML model; goal conditions; goal oriented test case generation; high level test objectives; robot controlled tape silo; system testing; test case generation; Artificial intelligence; Automatic testing; Command languages; Computer aided software engineering; Libraries; Robot control; Robotics and automation; Storage automation; System testing; Unified modeling language;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Software and Applications Conference, 1999. COMPSAC '99. Proceedings. The Twenty-Third Annual International
Conference_Location :
Phoenix, AZ
ISSN :
0730-3157
Print_ISBN :
0-7695-0368-3
Type :
conf
DOI :
10.1109/CMPSAC.1999.812687
Filename :
812687
Link To Document :
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