Volume 8 Number 6 (Jun. 2013)
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JSW 2013 Vol.8(6): 1511-1517 ISSN: 1796-217X
doi: 10.4304/jsw.8.6.1511-1517

An Approach for Domain Reduction with Data Dependence in Mutation Testing

Gaochao Xu, Yushuang Dong, Xiaodong Fu, Yan Ding, Jia Zhao, Xinzhong Liu
Department of Computer Science and Technology, JiLin University, Changchun, China

Abstract—As a testing strategy to evaluate the completeness of test cases, mutation testing has been identified as a "faultoriented" technique for unit testing, which is mainly used to generate complete test cases. The path-oriented technique of test data generation is a highly efficient technique which implements test data generation by building and solving constraint systems. Most of path-oriented generation techniques only take control dependence among statements into consideration, which is to build constraint system by analyzing control flow graph. However, it neglects the influence of data dependence among statements on constraint system. Therefore, this paper improved test data generation technique of domain reduction and proposed a new domain reduction method with data dependence. It added detecting of equivalent mutants and solved influences on constraint systems caused by multiple conditional branch statement. Experimental results showed that this method improved success rate and execution efficiency of test data generation in a significant extent.

Index Terms—Mutation testing, Equivalent mutant, Constraint system, Automatically software testing, Test data generation.

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Cite: Gaochao Xu, Yushuang Dong, Xiaodong Fu, Yan Ding, Jia Zhao, Xinzhong Liu, "An Approach for Domain Reduction with Data Dependence in Mutation Testing," Journal of Software vol. 8, no. 6, pp. 1511-1517, 2013.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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