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Finding Representative Test Case for Test Case Reduction in Regression Testing
Author(s) -
Sudhir Kumar Mohapatra,
Srinivas Prasad
Publication year - 2015
Publication title -
international journal of intelligent systems and applications
Language(s) - English
Resource type - Journals
eISSN - 2074-9058
pISSN - 2074-904X
DOI - 10.5815/ijisa.2015.11.08
Subject(s) - test suite , regression testing , computer science , test management approach , test case , test (biology) , reliability engineering , test script , reduction (mathematics) , model based testing , system under test , test strategy , test harness , white box testing , data mining , software , machine learning , regression analysis , software development , programming language , mathematics , software construction , engineering , geometry , biology , paleontology
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.

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