• Esha Khanna
• Ketna Khanna

Regression testing calls for re-execution of old test cases to ensure the correct working of existing features of the software. Due to limited time and resources, all the test cases cannot be executed. Prioritization of test cases is necessary so that higher priority test cases are executed first. Thorough testing increases overall quality of software and reduces maintenance cost. Ant colony optimization (ACO) is a metaheuristic technique used to solve optimization problems. ACO mimics the working of ant colonies to find the best solution to given search problem. ACO has been applied in software testing in order to prioritize the test cases. The work reviews various test case prioritization techniques based on Ant Colony Optimization.

Test case prioritization, Ant colony optimization, Regression testing

"Ant Colony Optimization based Test Case Prioritization ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.545-548, December-2018, Available :http://www.jetir.org/papers/JETIR1812075.pdf

"Ant Colony Optimization based Test Case Prioritization ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp545-548, December-2018, Available at : http://www.jetir.org/papers/JETIR1812075.pdf