Test Case Selection Using Bee Colony Optimization

Navdeep Koundal, Ankur Shukla, Mohsin Rashid Mir

Abstract: In software development life cycle (SDLC) ; testing phase is the most important phase. In regression testing there evolves the number of test cases that are impractical to test all of them. Therefore to overcome this problem; testing is done using selected test cases to reduce the testing effort and get the desired result accurately. We present the selection of test cases with the help of Bee Colony Optimization (BCO) Algorithm. The Algorithm proposed here uses swarm based intelligence technique on Maximum coverage to select the best of breed test case to evaluate any errors in the development cycle therefore the BCO produce optimal no. of test cases solving optimization problem.

Keywords: Bee colony optimization, path testing, maximum coverage, regression testing

How to Cite?: Navdeep Koundal, Ankur Shukla, Mohsin Rashid Mir, "Test Case Selection Using Bee Colony Optimization", Volume 3 Issue 5, May 2014, International Journal of Science and Research (IJSR), Pages: 1432-1436, https://www.ijsr.net/getabstract.php?paperid=20132171, DOI: https://dx.doi.org/10.21275/20132171