An effective approach to build optimal T-way interaction test suites over cloud using particle swarm optimization

Abstract

Software testing is an expensive and time consuming activity that is often restricted by limited project budgets. There is a need for advanced software testing techniques that offer a solid cost-benefit ratio in identifying defects. Interaction testing is one such method that may offer a benefit. Combinatorial or Interaction Testing is a practical test generation technique that offers a benefit when used to complement current test generation techniques such as equivalence partitioning, boundary value analysis. There are many existing issues which have not been fully addressed. One of the key issues of Combinatorial Testing is Combinatorial Explosion problem which can be addressed through Parallelization. In this paper, we propose an effective approach to build optimal t-way interaction test suites over the cloud environment which could further reduce time and cost. © 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.