JSW 2014 Vol.9(11): 2868-2876 ISSN: 1796-217X
doi: 10.4304/jsw.9.11.2868-2876
doi: 10.4304/jsw.9.11.2868-2876
Research on Automated Software Test Case Generation
Daisen Wei1, 2, Longye Tang2, Xueqing Li1, Ling Shang3
1College of computer science and technology, Shandong University, Jinan, China
2Inspur Genersoft Co., Ltd. Jinan, China
3Lifl, University of Science and Technology of Lille, Lille, France
Abstract—To improve the efficiency of software testing, a model-driven method is proposed to automatically generate test cases from UML design model. In it, PITCs (platform-independent test cases) are generated first from a UML design model. And then, according to the predefined rules, a process is implemented to transform PITCs into the corresponding PSTCs (platform-specific test cases). The experiment and comparison had showed that the method proposed in this paper was easier to be understood and implemented by users to generate test cases than the ones existed.
Index Terms—software testing, test case, PITC, PSTC, transformation rule
2Inspur Genersoft Co., Ltd. Jinan, China
3Lifl, University of Science and Technology of Lille, Lille, France
Abstract—To improve the efficiency of software testing, a model-driven method is proposed to automatically generate test cases from UML design model. In it, PITCs (platform-independent test cases) are generated first from a UML design model. And then, according to the predefined rules, a process is implemented to transform PITCs into the corresponding PSTCs (platform-specific test cases). The experiment and comparison had showed that the method proposed in this paper was easier to be understood and implemented by users to generate test cases than the ones existed.
Index Terms—software testing, test case, PITC, PSTC, transformation rule
Cite: Daisen Wei, Longye Tang, Xueqing Li, Ling Shang, "Research on Automated Software Test Case Generation," Journal of Software vol. 9, no. 11, pp. 2868-2876, 2014.
General Information
ISSN: 1796-217X (Online)
Frequency: Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKI, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsweditorialoffice@gmail.com
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