MCCFG: an MOF-based multiple condition control flow graph for automatic test case generation
- Authors
- Son, Hyun Seung; Park, Young B.; Kim, R. Young Chul
- Issue Date
- Jan-2019
- Publisher
- SPRINGER
- Keywords
- Automatic test case generation; Control flow graph (CFG); Coverage-based testing; Multiple condition control flow graph (MCCFG)
- Citation
- CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, v.22, pp.2461 - 2470
- Journal Title
- CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
- Volume
- 22
- Start Page
- 2461
- End Page
- 2470
- URI
- https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/12655
- DOI
- 10.1007/s10586-016-0687-1
- ISSN
- 1386-7857
- Abstract
- Requirement-based testing (RBT) is widely known for the efficient testing in the limited resources. However RBT is difficult to generate automatic test cases; thus it needs complex methods. This paper suggests our automatic test case generation for all coverage (statement, condition, decision, condition/decision, modified condition/decision, and multiple condition coverage) based on the model-based testing. To do this, we extend the original control flow graph with multiple conditions for all condition related coverage, which is called multiple conditions control flow graph, and adapt a model transformation using metamodel mechanism for test case generation. As a result, our proposed method successfully applies to the prior test requirement.
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Collections - Graduate School > Software and Communications Engineering > 1. Journal Articles
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