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 …

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

In the field of software testing, several meta-heuristics algorithms have been successfully
used for finding an optimized t-way test suite (where t refers to covering level). T-way testing …

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 …

T-way testing is a sampling strategy that generates a subset of test cases from a pool of
possible tests. Many t-way testing strategies appear in the literature to-date ranging from …

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 …

Exhaustive testing is a type of testing that test all possible combination of parameter values
to make sure the product is free from any possible faults and errors. However, employing …

Software faults are commonly occurred due to interactions between one or more input
parameters in complex software systems. Software test design techniques can be …

Hybrid meta-heuristics algorithms have gained popularity in recent years to solve t-way test
suite generation problems due to better exploration and exploitation capabilities of the …

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 …