This research study aims to introduce chaos theory into the Manta Ray Foraging
Optimization (MRFO) Algorithm and optimize a real-world design problem through the chaos …

To meet the increasing demand for customized software, highly configurable systems
become essential in practice. Such systems offer many options to configure, and ensuring …

Providing a reusable methodology for the evaluation of covering array generation utilities
and apply it to a corpus of such tools, obtaining an overview of supported features and …

Combinatorial interaction testing (CIT) is an important technique for testing highly
configurable software systems with demonstrated effectiveness in practice. The goal of CIT …

Context: The generation of the optimal constrained covering arrays is a key challenge in the
research field of combinatorial testing, where a variety of Constrained Covering Array …

The identifying code problem for a given graph involves finding a minimum subset of
vertices such that each vertex of the graph is uniquely specified by its nonempty …

Combinatorial testing (CT) can efficiently detect failures caused by interactions of
parameters of software under test. The CT study has undergone a transition from traditional …

Software test case optimization improves the efficiency of the software by proper structure
and reduces the fault in the software. The existing research applies various optimization …

The research focus in the field of combinatorial testing has shifted from unconstrained
covering array generation (CAG) to constrained covering array generation (CCAG). Most …

Combinatorial Testing (CT) tools are essential to test properly a wide range of systems (train
systems, Graphical User Interfaces (GUIs), autonomous driving systems, etc). While there is …