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