The metaheuristic algorithm is a very important area of research that continuously improves
in solving optimization problems. Nature-inspired is one of the metaheuristic algorithm …

The application of meta-heuristic algorithms for t-way testing has recently become prevalent.
Consequently, many useful meta-heuristic algorithms have been developed on the basis of …

The potentially many software system input combinations make exhaustive testing
practically impossible. To address this issue, combinatorial t-way testing (where t indicates …

Much of our daily tasks have been computerized by machines and sensors communicating
with each other in real-time. There is a reasonable risk that something could go wrong …

Due to different users' requirements, contemporary software has become feature-rich in
terms of input functions (ie, parameters) and selections (ie, values). Exhaustive testing on …

Combinatorial Interaction testing (or termed t-way testing) is a useful g strategy aimed at
sampling a set of test cases from a large search space. As part of the strategy …

This paper proposes a novel hybrid t-way test generation strategy (where t indicates
interaction strength), called High Level Hyper-Heuristic (HHH). HHH adopts Tabu Search as …

Recently, many meta-heuristic algorithms have been proposed to serve as the basis of a t-
way test generation strategy (where t indicates the interaction strength) including Genetic …

The test case construction is amongst the most labor-intensive tasks and has significant
influence on the effectiveness and efficiency in software testing. Due to the market needed …

This paper presents a study comparing different techniques to achieve minimal test suites in
combinatorial testing. Considering high interaction strength is not without difficulties. When …