DocumentCode :
2269181
Title :
Generating Test Plans for Acceptance Tests from UML Activity Diagrams
Author :
Heinecke, Andreas ; Bruckmann, Tobias ; Griebe, Tobias ; Gruhn, Volker
Author_Institution :
Dept. of Comput. Sci., Univ. of Leipzig, Leipzig, Germany
fYear :
2010
fDate :
22-26 March 2010
Firstpage :
57
Lastpage :
66
Abstract :
The Unified Modeling Language (UML) is the standard to specify the structure and behaviour of software systems. The created models are a constitutive part of the software specification that serves as guideline for the implementation and the test of software systems. In order to verify the functionality which is defined within the specification documents, the domain experts need to perform an acceptance test. Hence, they have to generate test cases for the acceptance test. Since domain experts usually have a low level of software engineering knowledge, the test case generation process is challenging and error-prone. In this paper we propose an approach to generate high-level acceptance test plans automatically from business processes. These processes are modeled as UML Activity Diagrams (ACD). Our method enables the application of an all-path coverage criterion to business processes for testing software systems.
Keywords :
Unified Modeling Language; diagrams; program testing; UML activity diagrams; Unified Modeling Language; acceptance tests; business processes; domain experts; functionality; software engineering knowledge; software specification; software system testing; specification documents; test case generation process; test plans generation; Application software; Automatic testing; Guidelines; Performance evaluation; Software engineering; Software standards; Software systems; Software testing; System testing; Unified modeling language; Activity Diagram; Model Based Testing; Test Case Generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering of Computer Based Systems (ECBS), 2010 17th IEEE International Conference and Workshops on
Conference_Location :
Oxford
Print_ISBN :
978-1-4244-6537-8
Electronic_ISBN :
978-1-4244-6538-5
Type :
conf
DOI :
10.1109/ECBS.2010.14
Filename :
5457786
Link To Document :
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