%0 Journal Article
%T Implementing Ant Colony Optimization for Test Case Selection and Prioritization
%A Bharti Suri
%A Shweta Singhal
%J International Journal on Computer Science and Engineering
%D 2011
%I Engg Journals Publications
%X Regression Testing is an inevitable and a very costly activity to be performed, often in a time and resource constrained environment. Thus we use techniques like Test Case Selection and Prioritization, to select and prioritize a subset from the complete test suite, fulfilling some chosen criteria. Ant Colony Optimization (ACO) is a technique based on the real life behavior of ants. This paperpresents an implementation of an already introduced Ant Colony Optimization Algorithm for Test Case Selection and Prioritization. Graph representation and example runs explained in the paper show howthe random nature of ACO helps to explore the possible paths and choose the optimal from them. Results show that ACO leads to solutions that are in close proximity with optimal solutions.
%K Regression Testing
%K Ant Colony Optimization
%K Implementation
%K Test Case Selection
%K Test Case Prioritization
%U http://www.enggjournals.com/ijcse/doc/IJCSE11-03-05-218.pdf