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MCCFG: an MOF-based multiple condition control flow graph for automatic test case generation

Authors
Son, Hyun SeungPark, 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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