Review of nature inspired metaheuristic algorithm selection for combinatorial t-way testing

AA Muazu, AS Hashim, A Sarlan - IEEE Access, 2022 - ieeexplore.ieee.org
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 …

Construction of prioritized T-way test suite using bi-objective dragonfly algorithm

M Ahmed, AB Nasser, KZ Zamli - IEEE Access, 2022 - ieeexplore.ieee.org
Software testing is important for ensuring the reliability of software systems. In software
testing, effective test case generation is essential as an alternative to exhaustive testing. For …

Enhancing the Bees Algorithm using the traplining metaphor

AH Ismail - 2021 - etheses.bham.ac.uk
This work aims to improve the performance of the Bees Algorithm (BA), particularly in terms
of simplicity, accuracy, and convergence. Three improvements were made in this study as a …

T-way test suite generation strategy based on ant colony algorithm to support t-way variable strength

N Ramli, RR Othman, R Hendradi… - Journal of Physics …, 2021 - iopscience.iop.org
T-way test suite generation strategy based on Ant Colony algorithm (TTSGA) has been
developed to support t-way variable strength testing which tackles exhaustive testing issues …

Enhancement of bees algorithm for global optimisation

MS Bahari - 2019 - etheses.bham.ac.uk
This research focuses on the improvement of the Bees Algorithm, a swarm-based nature-
inspired optimisation algorithm that mimics the foraging behaviour of honeybees. The …