Test Case Prioritization: An Empirical Study
ICSM '99 Proceedings of the IEEE International Conference on Software Maintenance
TimeAware test suite prioritization
Proceedings of the 2006 international symposium on Software testing and analysis
AntNet: distributed stigmergetic control for communications networks
Journal of Artificial Intelligence Research
Test case prioritization using ant colony optimization
ACM SIGSOFT Software Engineering Notes
Data mining with an ant colony optimization algorithm
IEEE Transactions on Evolutionary Computation
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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Regression testing is primarily a maintenance activity that is performed frequently to ensure the validity of the modified software. In such cases, due to time and cost constraints, the entire test suite cannot be run. Thus, it becomes essential to select or prioritize the tests in order to cover maximum faults in minimum time. Recently, Ant Colony Optimization (ACO), which is a new way to solve time constraint prioritization problem, has been utilized. This paper presents the analysis of the regression test prioritization technique to reorder test suites in time constraint environment along with the sample runs on various programs. Our analysis concluded that the ACO finds better orderings at higher values of the time constraint (TC). The correctness of the technique has also been recorded to be near optimal at an average.