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 …

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

Interaction (t-way) testing is a common sampling strategy to minimize combinatorial test data
from large configuration space based on the defined interaction strength (t). Here, all t-way …

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 …

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 …

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 …

Exhaustive testing occurs between interaction elements (ie, factor and level). In reality, The
software system is often impractical because of other constraints, such as cost and time …

T-way combinatorial testing aims to generate a smaller test suite size. The purpose of t-way
combinatorial testing is to overcome exhaustive testing. Although many existing strategies …

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 …

Software interaction test suites serve two complementary roles. They are employed to
systematically verify that, for some strength t, no t-way interaction of a system's parameters …