Swarm intelligence (SI) is briefly defined as the collective behaviour of decentralized and
self-organized swarms. The well known examples for these swarms are bird flocks, fish …

Most of the optimization problems encountered in the real world are discrete type which
involves decision variables defined in the discrete search space. Binary optimization …

Regression testing aims at testing a system under test (SUT) in the presence of changes. As
a SUT changes, the number of test cases increases to handle the modifications, and …

Regression testing remains a promising research area for the last few decades. It is a type of
testing that aims at ensuring that recent modifications have not adversely affected the …

Regression testing is a maintenance level activity performed on a modified program to instill
confidence in the software's reliability. Prioritization of test case arranges the regression test …

Optimizing software testing process has received much attention over the last few decades.
Test optimization is typically seen as a multi-criteria decision making problem. One aspect of …

Abstract Meta-heuristic Artificial Bee Colony Algorithm finds its applications in the
optimization of numerical problems. The intelligent searching behaviour of honey bees …

Path testing is one of the areas covered in structural testing. In this process, it is a key
challenge to search for a set of test data in the whole search space to satisfy path coverage …

The outbreak of the new Coronavirus (COVID-19) pandemic has prompted investigations on
various aspects. This research aims to study the possible correlation between the numbers …

Software test suite generation and development of techniques to optimize the test suite are
vital parts of the software development life cycle. In this paper, a combination of Markov …