A Combination of GA and PSO for Automatic Test Data Generation using Data Flow Coverage
Main Article Content
Abstract
Software testing plays an important role for software’s quality and reducing the cost. In this paper we introduce a new algorithm that
combine the power of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) called Genetic-Particle Swarm Combined Algorithm
(GPSCA) which is used to generate automatic test data that satisfy data-flow coverage criteria. Finally, the paper presents the results of the
experiments that have been carried out to evaluate the effectiveness of the proposed GPSCA with new fitness function compared to the Genetic
Algorithm and PSO algorithms.
Â
Keywords: Genetic Algorithms, Automatic test data generation, data flow testing, Particle Swarm Optimization.
Downloads
Article Details
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.