Path Coverage Test Case Generation Using Genetic Algorithms

Authors

  • Nuntanee Chuaychoo Department of Management of Information Technology, Faculty of Engineering, Prince of Songkla University, Hat Yai, Songkhla, Thailand.
  • Supaporn Kansomkeat Department of Computer Science, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla, Thailand.

Keywords:

Software Testing, Genetic Algorithms, Test Case Generation.

Abstract

Software testing is an important step in the software process. It makes the developed software more accurate and reliable. Generating test cases is a key element in the process of software testing. The quality of testing depends on the test effectiveness. This paper presents a method for generating test cases using genetic algorithms. A test case generation tool is developed with Visual Basic .NET for supporting our method. The proposed method was applied on case studies and mutation testing was used in our experiment for performance evaluation. The results show that the generated test cases are appropriate for software testing.

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Published

2017-06-01

How to Cite

Chuaychoo, N., & Kansomkeat, S. (2017). Path Coverage Test Case Generation Using Genetic Algorithms. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(2-2), 115–119. Retrieved from https://jtec.utem.edu.my/jtec/article/view/2230

Issue

Vol. 9 No. 2-2: Circuit and System Advancement in Modern World I

Section

Articles

License

Copyright (c) 2024 Journal of Telecommunication, Electronic and Computer Engineering

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)