Meta-heuristic algorithm to generate optimised test cases for aspect-oriented software systems Online publication date: Tue, 09-Feb-2021
by Abhishek Singhal; Abhay Bansal; Avadhesh Kumar
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 18, No. 2, 2021
Abstract: Optimised test case generation is challenging for software industry. Test all approach is commonly used in software industry but it is not an effective approach in terms of computational cost. There exist literature available that show the applicability of meta-heuristic algorithm to address the issues, but the results received are not as perfect as it was expected, so scope of more optimised approaches still persists. In this paper, we propose an artificial bee colony based test case optimisation approach for aspect oriented software systems. Experiments are conducted using six benchmark problems, which validates the effectiveness of proposed approach. The results state the reduction of 20-40% number of test cases and more than 90% of code coverage in the optimised test suite, which shows the superiority of proposed approach. This clearly indicates that the computational time and complexity of the approach adopted shows remarkable improvement over GA.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Advanced Intelligence Paradigms (IJAIP):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook