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Pachauri, A. (2013) Automated Test Data Generation for Branch Testing Using Genetic Algorithm: An Improved Approach Using Branch Ordering, Memory and Elitism. Journal of Systems and Software, 86, 1191-1208.
https://doi.org/10.1016/j.jss.2012.11.045

has been cited by the following article:

• TITLE: An Improved Approach for Generating Test Cases during Model-Based Testing Using Tree Traversal Algorithm

  AUTHORS: Oluwatolani Achimugu, Philip Achimugu, Chinonyelum Nwufoh, Sseggujja Husssein, Ridwan Kolapo, Tolulope Olufemi

  KEYWORDS: Requirements, Model, Testing, Tree, Traversal

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.14 No.6, June 21, 2021

  ABSTRACT: During the model-based software testing process, test cases are generated from modeled requirements to conduct acceptance testing. However, existing approaches generate erroneous test cases, lack full coverage criteria and prototype tools. Therefore, the aim of this research is to develop an approach capable of reducing erroneous test case generation based on full coverage criteria and a prototype tool. The method employed was to develop a parser to extract information from the XMI file of a modeling diagram where a tree is constructed and a traversal operation executed on the nodes and edges to generate test cases. The results obtained from the proposed approach showed that 97.35% of the generated test cases were precise and comprehensive enough to conduct testing because 99.01% of all the nodes and edges were fully covered during the traversal operations.