Combining genetic algorithm and pairwise testing for optimised test generation from UML ADs
Author:
Affiliation:
1. Test Manager and Research Scholar Bharathiar University Coimbatore India
2. Department of CSE APS College of Engineering Bangalore India
Publisher
Institution of Engineering and Technology (IET)
Subject
Computer Graphics and Computer-Aided Design
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-sen.2018.5207
Reference24 articles.
1. Manual test case derivation from UML activity diagrams and state machines: A controlled experiment
2. Automatic test generation from UML sequence diagrams for android mobiles;Anbunathan R.;Int. J. Appl. Eng. Res.,2016
3. Kim H. Kang S. Baik J. et al.: ‘Test cases generation from UML activity diagrams’.IEEE Eighth ACIS Int. Conf. Software Engineering Artificial Intelligence Networking and Parallel/Distributed Computing Qingdao China 2007 pp.556–561
4. Shirole M. Suthar A. Kumar R.: ‘Generation of improved test cases from UML state diagram using genetic algorithm’.Proc. Fourth India Software Engineering Conf. Thiruvananthapuram India 2011 pp.125–134
5. A Novel Approach to Generate Test Cases from UML Activity Diagrams.
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1. DFS-KeyLevel: A Two-Layer Test Scenario Generation Approach for UML Activity Diagram;Journal of Electronic Testing;2023-02
2. A Pairwise Based Method for Automated Test Data Generation for $\mathrm{C}/\mathrm{C}++$ Projects;2022 RIVF International Conference on Computing and Communication Technologies (RIVF);2022-12-20
3. Model-based test case generation and prioritization: a systematic literature review;Software and Systems Modeling;2021-09-07
4. Constrained permutation-based test scenario generation from concurrent activity diagrams;Innovations in Systems and Software Engineering;2021-04-01
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