NDLI: Finding representative test suit for test case reduction in regression testing

Content Provider	IEEE Xplore Digital Library
Author	Mohapatra, S.K. Pradhan, M.
Copyright Year	2015
Description	Author affiliation: SOA Univ., Bhubaneswar, India (Mohapatra, S.K.) \|\| Gandhi Inst. For Technol. Advancement, Bhubaneswar, India (Pradhan, M.)
Abstract	Software testing is one of the important stages of software development. In software development, developers always depend on testing to reveal bugs. In the maintenance stage test suite size grow because of integration of new technique. Addition of new technique force to create new test case which increase the size of test suite. In regression testing new test case may be added to the test suite during the whole testing process. These additions of test cases create possibility of presence of redundant test cases. Due to limitation of time and resource, reduction techniques should be used to identify and remove them. Research shows that a subset of the test case in a suit may still satisfy all the test objectives which is called as representative set. Redundant test case increase the execution cost of the test suite, in spite of NP-completeness of the problem there are few good reduction techniques have been available. In this paper a new approach for test case reduction is proposed. This algorithm use genetic algorithm technique iteratively with varying chromosome length to reduce test case in a test suit by finding representative set of test cases that are fulfill the testing criteria.
Starting Page	1
Ending Page	6
File Size	376797
Page Count	6
File Format	PDF
e-ISBN	9781479981649
DOI	10.1109/IC4.2015.7375657
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-10
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Software testing Conferences Sociology Genetic Algorithm Software Test suite minimization Statistics Biological cells Testing Genetic algorithms Test suite reduction
Content Type	Text
Resource Type	Article

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