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Spider Monkey Particle Swarm Optimization (SMPSO) With Coverage Criteria for Optimal Test Case Generation in Object-Oriented Systems

Spider Monkey Particle Swarm Optimization (SMPSO) With Coverage Criteria for Optimal Test Case Generation in Object-Oriented Systems

Satya Sobhan Panigrahi, Ajay Kumar Jena
Copyright: © 2022 |Volume: 13 |Issue: 1 |Pages: 20
ISSN: 1942-3926|EISSN: 1942-3934|EISBN13: 9781683180975|DOI: 10.4018/IJOSSP.300750
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MLA

Panigrahi, Satya Sobhan, and Ajay Kumar Jena. "Spider Monkey Particle Swarm Optimization (SMPSO) With Coverage Criteria for Optimal Test Case Generation in Object-Oriented Systems." IJOSSP vol.13, no.1 2022: pp.1-20. http://doi.org/10.4018/IJOSSP.300750

APA

Panigrahi, S. S. & Jena, A. K. (2022). Spider Monkey Particle Swarm Optimization (SMPSO) With Coverage Criteria for Optimal Test Case Generation in Object-Oriented Systems. International Journal of Open Source Software and Processes (IJOSSP), 13(1), 1-20. http://doi.org/10.4018/IJOSSP.300750

Chicago

Panigrahi, Satya Sobhan, and Ajay Kumar Jena. "Spider Monkey Particle Swarm Optimization (SMPSO) With Coverage Criteria for Optimal Test Case Generation in Object-Oriented Systems," International Journal of Open Source Software and Processes (IJOSSP) 13, no.1: 1-20. http://doi.org/10.4018/IJOSSP.300750

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Abstract

System modeling in software engineering describes the procedure of creating a demonstration of real system in a conceptual way to know the system behavior. The software testing promotes reusing the model for the function of testing and this accelerates test case generation development. The test case generation verifies the reliability of system through enhanced test coverage. Test cases are the set of variables or conditions that defines the quality of product and level of correctness. This research aims to develop a method named Spider Monkey Particle Swarm Optimization (SMPSO) algorithm to generate test case using UML diagram. Accordingly, the proposed algorithm effectively generates the optimal test case by UML diagram through the construction of control graph. The proposed method achieved the coverage as 76, and generates the number of test cases as 82413.

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