A hybrid genetic algorithm based test case generation using sequence diagrams

12Citations
Citations of this article
18Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This paper presents a hybrid approach of generating test cases using sequence diagram with genetic algorithm. Sequence diagram shows the method call dependencies that exist among the methods that potentially appear in a method call sequence, which is good for integration testing. In this work, we use genetic algorithm to generate interclass method sequences using the sequence diagram. Main focus of the work is to exploit sequence diagram using genetic algorithm to search method sequences leading to usable behavior in application domain. Method sequences generated by this approach are used to generate test cases for dynamic execution. The test cases are generated for integration level testing. This results in a model based testing technique for object oriented software. Experimental results show that a test case covers major scenarios leading to both valid and invalid flows of a given scenario. Test cases generated using genetic algorithm improves the method coverage as well as exception coverage as shown in the result. © 2010 Springer-Verlag Berlin Heidelberg.

Cite

CITATION STYLE

APA

Shirole, M., & Kumar, R. (2010). A hybrid genetic algorithm based test case generation using sequence diagrams. In Communications in Computer and Information Science (Vol. 94 CCIS, pp. 53–63). https://doi.org/10.1007/978-3-642-14834-7_6

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free