Search. Read. Cite.

Easy to search. Easy to read. Easy to cite with credible sources.

Research Article
A Greedy Particle Swarm Optimization Strategy for T-way Software Testing

Bestoun S. Ahmed and Kamal Z. Zamli

Journal of Artificial Intelligence, 2012, 5(2), 85-90.


Combinatorial strategies are used as methods or mechanisms for selecting test cases using combinations of test input parameters. We normally want that all t-way combinations of parameter values occur in the test suit at least once. Artificial intelligence base search algorithms have been used within strategies for constructing near optimal test suites. In this paper, we propose a new test generation strategy, for combinatorial testing based on greedy Particle Swarm Optimization. The basic design concepts of the strategy are demonstrated through the paper. The experimental results and comparisons of our strategy showed impressive results as far as the test suite size is considered.

ASCI-ID: 33-74

Cited References Fulltext

Related Articles

Particle Swarm Optimization Applications to Static Security Enhancement Using Multi Type Facts Devices

Journal of Artificial Intelligence, 2008, 1(1), 34-43.

Cited By

RGA: A lightweight and effective regeneration genetic algorithm for coverage-oriented software test data generation

Information and Software Technology, 2016, 76(), 19. DOI: 10.1016/j.infsof.2016.04.013

Sustainability evaluation of pasteurized milk production with a life cycle assessment approach: An Iranian case study

Science of The Total Environment, 2016, 562(), 614. DOI: 10.1016/j.scitotenv.2016.04.070

The multidimensional causal factors of ‘wet litter’ in chicken-meat production

Science of The Total Environment, 2016, 562(), 766. DOI: 10.1016/j.scitotenv.2016.03.147

Recent advances in in vitro embryo production in small ruminants

Theriogenology, 2016, (), . DOI: 10.1016/j.theriogenology.2016.04.027

On-site hydrolytic enzymes production from fungal co-cultivation of Bermuda grass and corn cob

Bioresource Technology, 2016, 212(), 334. DOI: 10.1016/j.biortech.2016.04.070

An innovative design of a hybrid chain coding algorithm for bi-level image compression using an agent-based modeling approach

Applied Soft Computing, 2019, (), . DOI: 10.1016/j.asoc.2019.03.024

A new chain coding mechanism stimulated by a virtual environment of a predator–prey ecosystem

Future Generation Computer Systems, 2019, (), . DOI: 10.1016/j.future.2019.08.021

The Role of Artificial Intelligence, MLR and Statistical Analysis in Investigations about the Correlation of Swab Tests and Stress on Health Care Systems by COVID-19

Information, 2020, 11(9), 454. DOI: 10.3390/info11090454

The Role of Swab Tests to Decrease the Stress by COVID-19 on the Health System using AI, MLR & Statistical Analysis

The Role of Swab Tests to Decrease the Stress by COVID-19 on the Health System using AI, MLR & Statistical Analysis, 2020, (), . DOI: 10.1101/2020.06.02.20120394