The AETG System: An Approach to Testing Based on Combinatorial Design
IEEE Transactions on Software Engineering
The density algorithm for pairwise interaction testing: Research Articles
Software Testing, Verification & Reliability
A density-based greedy algorithm for higher strength covering arrays
Software Testing, Verification & Reliability
A novel global harmony search algorithm for reliability problems
Computers and Industrial Engineering
PSTG: A T-Way Strategy Adopting Particle Swarm Optimization
AMS '10 Proceedings of the 2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation
Information Sciences: an International Journal
A variable strength interaction test suites generation strategy using Particle Swarm Optimization
Journal of Systems and Software
Information and Software Technology
Hi-index | 0.00 |
Recently, many new researchers have considered the adoption of Artificial Intelligence-based Algorithm for the construction of t-way test suite generation strategies (where t indicates the interaction strengths). Although useful, most existing AI-based strategies have not sufficiently dealt or even experimented with the problem of constraints. Here, it is desirable for a particular AI-based strategy of interest to be able to automatically exclude the set of impossible or forbidden combinations from the final t-way generated suite. This paper describes our experience dealing with constraints from within a Harmony Search Algorithm based strategy, called HSS. Our experience with HSS is encouraging as we have obtained competitive test size as overall.