DocumentCode
2302362
Title
Scenario Based Test Generation Using Test Designer
Author
Castillos, Kalou Cabrera ; Botella, Julien
Author_Institution
LIFC/INRIA CASSIS Project, Besancon, France
fYear
2011
fDate
21-25 March 2011
Firstpage
79
Lastpage
88
Abstract
This paper presents a Scenario Based Testing approach for UML/OCL behavioral models. Scenarios are expressed using a regular expression syntax, that makes it possible to specify iterations and choices between sequences of operation calls, specific operation behaviors to be activated, and intermediate states that have to be reached by the scenario. This expressive scenario language describes sequences of operations that compose the scenario and restrict the execution of the model to representative subset that complements the functional test cases produced by a test generator. This approach is tool supported by a scenario editor and coupled with the model animation engine of the Test Designer tool that is used to animate unfolded test cases and check their consistency with respect to the initial test scenario. The resulting abstract test cases can then be integrated back to the Test Designer repository so as to benefit from the test publishers offered by the tool.
Keywords
Unified Modeling Language; program diagnostics; program testing; OCL behavioral model; Object Constraint Language; UML behavioral model; abstract test case; expressive scenario language; functional test case; model animation engine; operation call; regular expression syntax; representative subset; scenario based test generation; scenario editor; specific operation behavior; test designer repository; test designer tool; Animation; Computational modeling; Generators; Motion pictures; Syntactics; Testing; Unified modeling language; Model Animation; Model-Based Testing; Scenarios; Test Designer; UML/OCL;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Testing, Verification and Validation Workshops (ICSTW), 2011 IEEE Fourth International Conference on
Conference_Location
Berlin
Print_ISBN
978-1-4577-0019-4
Electronic_ISBN
978-0-7695-4345-1
Type
conf
DOI
10.1109/ICSTW.2011.93
Filename
5954394
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