I.J. Mathematical Sciences and Computing, 2015, 3, 1-8 Published Online September 2015 in MECS (http://www.mecs-press.net) DOI: 10.5815/ijmsc.2015.03.01 Available online at http://www.mecs-press.net/ijmsc The Application of Meta-Heuristic Algorithms in Automatic Software Test Case Generation Maryam Mirzapour Moshizi a , Amid Khatibi Bardsiri b ab Department of Computer Science, Bardsir Branch, Islamic Azad University, Kerman, Iran Abstract Nowadays, software test is one of the most important activities that software’s quality will be certified by it. Test operation includes program’s implement on test case set and comparison of results with expected one. Manual test case for operation test program and error detect is time consuming with insufficient precision and complicated coverage of program, so, the use of algorithms in automatic test case generation has been considered. Meta-heuristic algorithms are known tools which are optimized and used in test case generation. Most of complicated matters need a lot of possible states assessment in order to reach the valid answer. With the proper answer, test case optimization and meta-heuristic algorithms play a constructive role. In this paper we would compare methods and their traits, and the software test case generation methods based on meta- heuristic algorithms with their description. Index Terms: Test Case Generation, Meta-Heuristic Algorithms, Software Test Case © 2015 Published by MECS Publisher. Selection and/or peer review under responsibility of the Research Association of Modern Education and Computer Science 1. Introduction Nowadays, software is being produced rapidly, and its quality is one of the important factors in software industry so, they must be tested in order to achieve a good quality. Software test is one of the most crucial and acute must to be activities during the software project. Validation and accuracy will affect on result of software test quality directly, so schematization and accurate implement of software test would have a defining role for failure or achievement. Software test will use 30% of project endeavour in most of tasks. In acute safety application, software test can use 50% to 80% of project endeavour [1]. Defective software is usually costly and software test is the only way for defect finding. Of course, we should consider that test can show errors not inexistence. Because not to be any error doesn’t mean there is no error in the program. There have been made a lot of techniques for software test that their purpose is exhibition of a successful method which at least could be * Corresponding author. Tel.: E-mail address: mmairr_2007@yahoo.com；a.khatibi@srbiau.ac.ir