Abstract
It is the demand of our ever-advancing IT industry that software be updated in order to continue its use. Such a modification should not introduce any unwanted new faults in the system. For this, the existing test suite needs to be rerun, often called as regression testing. The main challenge during the regression testing process is not to exceed the desired time and budge deadlines. As a consequence various techniques such as test case selection, minimization and prioritization are used. This paper proposes and analyzes the effect of time constraint on an ant colony optimization based technique for Regression test selection and prioritization. It has been found that with an increase in the applied time constraint, there are more chances to get an optimum selected and prioritized test suite. Also it was found that the complexity of our algorithm depends on the size of the test suite and the applied time constraint and is independent of the number of faults being mutated or any other input variable.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of System Assurance Engineering and Management
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
