Volume 8 Number 3 (Mar. 2013)
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JSW 2013 Vol.8(3): 560-571 ISSN: 1796-217X
doi: 10.4304/jsw.8.3.560-571

A Systematic State-Based Approach to Regression Testing of Component Software

Chuanqi Tao1, 2, 3, Bixin Li1, 2, Jerry Gao3

1School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu, China
2Key Laboratory of Computer Network and Information Integration (Southeast University), Ministry of Education
3Department of Computer Engineering, San Jose State University, San Jose, CA, USA

Abstract—Today, component-based software engineering has been widely used in software construction to reduce project cost and speed up software development cycle. Due to software changes in new release or update of components, regression testing is needed to assure system quality. When changes made to a component, the component could be affected, moreover, the changes could bring impacts on the entire system. We firstly identify diverse changes made to components and system based on models, then perform change impact analysis, and finally refresh regression test suite using a state-based testing practice. Related existing research did not address the issue of systematic regression testing of component-based software, especially at system level. The paper also reports a case study based on a realistic component-based software system using a, which shows that the approach is feasible and effective.

Index Terms—Component-based software regression testing; re-test model; state-based testing; change and impact analysis; test suite refreshment.


Cite: Chuanqi Tao, Bixin Li, Jerry Gao, "A Systematic State-Based Approach to Regression Testing of Component Software," Journal of Software vol. 8, no. 3, pp. 560-571, 2013.

General Information

ISSN: 1796-217X (Online)
Frequency:  Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsweditorialoffice@gmail.com
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