Work place: SOA University, Bhubaneswar, Odisha, India
E-mail: sudhirmohapatra@hotmail.com
Website:
Research Interests: Autonomic Computing, Computer Networks, Parallel Computing, Computing Platform
Biography
Sudhir Kumar Mohapatra an M.Tech(Computer Science) holder from Utkal University is currently persuing P.hD from SOA University,Odisha, India in the department of Computer Science & Engg. His research areas include Software Testing, Soft Computing, Parallel Computing & Computer Programming.
By Sudhir Kumar Mohapatra Srinivas Prasad
DOI: https://doi.org/10.5815/ijisa.2015.11.08, Pub. Date: 8 Oct. 2015
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. An 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 a representative set of test cases that are fulfill the testing criteria.
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