NDLI: Design and Analysis of Cost-Cognizant Test Case Prioritization Using Genetic Algorithm with Test History

Content Provider	IEEE Xplore Digital Library
Author	Yu-Chi Huang Chin-Yu Huang Jun-Ru Chang Tsan-Yuan Chen
Copyright Year	2010
Abstract	During software development, regression testing is usually used to assure the quality of modified software. The techniques of test case prioritization schedule the test cases for regression testing in an order that attempts to increase the effectiveness in accordance with some performance goal. The most general goal is the rate of fault detection. It assumes all test case costs and fault severities are uniform. However, those factors usually vary. In order to produce a more satisfactory order, the cost-cognizant metric that incorporates varying test case costs and fault severities is proposed. In this paper, we propose a cost-cognizant test case prioritization technique based on the use of historical records and a genetic algorithm. We run a controlled experiment to evaluate the proposed technique’s effectiveness. Experimental results indicate that our proposed technique frequently yields a higher Average Percentage of Faults Detected per Cost (APFDc). The results also show that our proposed technique is also useful in terms of APFDc when all test case costs and fault severities are uniform.
Starting Page	413
Ending Page	418
File Size	399437
Page Count	6
File Format	PDF
ISBN	9781424475124
ISSN	07303157
e-ISBN	9781424475131
e-ISBN	9780769540856
DOI	10.1109/COMPSAC.2010.66
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-19
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Testing Biological cells Fault detection Measurement Gallium Search problems Schedules Average Percentage of Faults Detected pre Cost(APFDc) regression testing cost-cognizant test case prioritizaion test cost fault severity rate of fault detection
Content Type	Text
Resource Type	Article
Subject	Computer Science Applications Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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