General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
    • E-mail: ijcte@iacsitp.com
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Editor-in-chief
Prof. Mehmet Sahinoglu
Computer Science Department, Troy University, USA
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.

IJCTE 2017 Vol.9(3): 156-161 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2017.V9.1130

Automated Generate Test Sequence from State Transition Diagram Using Ant Colony Optimization

Suchada Ratanakongnate and Phakakarn Makmun

Abstract—Abstract—This research is created Test Sequence using Unified Modeling Language. State Transition Diagram is behavior diagram, which helps analyzer to see the relationship of each process in software and it can be done before developing real software. The XML document assists in data managements. Thus, various applications can be easily deployed and easy to use. To generate test sequence and find priority of test case by Ant Colony Optimization method (ACO). The function of this method is that the ants will choose the path of the likelihood of a multiple of the amount of pheromone and heuristic values from the path connecting. Starting from start node to the end node, the decrease of amount of pheromones is determined by the rate of evaporation. The advantages of evaporation is able to force the ants avoid selecting local optimal solution and add sub transition search. If the probability is equal to, the ants do not walk in the transition that has been in the past. So to be able to explore other paths which have never been before. Researchers create test sequence this way and focus on the analysis of priorities of test cases so that testers can test the software according to the important of test case.

Index Terms—Index Terms—Test sequence, test case, state transition diagram, ant colony optimization (ACO), extensible markup language (XML).

Both authors are with the Department of Computer and Information Science of King Mongkut's University of Technology North Bangkok, Thailand (email: suchada.rata@gmail.com, phakapan31@gmall.com).

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Cite:Suchada Ratanakongnate and Phakakarn Makmun, "Automated Generate Test Sequence from State Transition Diagram Using Ant Colony Optimization," International Journal of Computer Theory and Engineering vol. 9, no. 3, pp. 156-161, 2017.


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