Asia-Pacific Youth Conference on Communication Technology (APYCCT 2010 E-BOOK)

Kunming,China,8.7-8.8,2010

ISBN: 978-1-935068-20-4 Scientific Research Publishing, USA

E-Book 934pp Pub. Date: August 2010

Category: Computer Science & Communications

Price: $120

Title: An Approach to Regression Testing Case Selection Based on Rate of Fault Detection and Design Information
Source: Asia-Pacific Youth Conference on Communication Technology (APYCCT 2010 E-BOOK)(Part 3 Computer Technology and Application) (pp 163-166)
Author(s): Jin Wen, Education Center of Modern Technology, Kunming University, Kunming, Yunnan, China
Jiang Yue, Education Center of Modern Technology, Kunming University, Kunming, Yunnan, China
Rui Hua, Education Center of Modern Technology, Kunming University, Kunming, Yunnan, China
Yi Fang Zhou, Education Center of Modern Technology, Kunming University, Kunming, Yunnan, China
Ling Li, Education Center of Modern Technology, Kunming University, Kunming, Yunnan, China
Abstract: Regression testing is an important activity in the process of software testing. It is applied after a program is modified to detect whether new errors have been introduced into previously tested code and provide confidence that modifications are correct. Since regression testing involves testing the modified program with the old test cases and is an expensive process, researchers have proposed regression test selection techniques as a way to reduce some of this expense. Through analyzing the drawbacks of existing regression testing techniques, in this paper, we present the RTCSFD (Regression Test Cases Selection based on rate of Fault detection and Design information), a new method for regression testing, which takes fault detection and test suite design information into account. This approach attempts to reduce costs by selecting and running only a subset of the test cases in a program’s existing test suite. Preliminary experiment has been employed on a system, and experiment results show that the method of regression testing case selection is feasible and effective in practice. Compared with existing method, the new method can make use of design information and perform test case prioritization, and is more efficient in detecting faults.
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