A class integration test order generation approach based on Sarsa algorithm
Author:
Funder
Xuzhou Science and Technology Program
National Natural Science Foundation of China
China Postdoctoral Science Foundation
Publisher
Springer Science and Business Media LLC
Subject
Software
Link
https://link.springer.com/content/pdf/10.1007/s10515-023-00406-9.pdf
Reference51 articles.
1. Abdurazik, A., Offutt, J.: Coupling-based class integration and test order. In: Proceedings of 2006 International Workshop on Automation of Software Test. ACM, pp 50–56 (2006)
2. Abdurazik, A., Offutt, J.: Using coupling-based weights for the class integration and test order problem. Comput. J. 52(5), 557–570 (2009)
3. Bansal P., Sabharwal S., Sidhu P.: An investigation of strategies for finding test order during integration testing of object oriented applications. In: Proceeding of the 2009 International Conference on Methods and Models in Computer Science IEEE, pp 1–8 (2009)
4. Borner L., Paech B.: Integration test order strategies to consider test focus and simulation effort. In: Proceedings of the 2009 IEEE 1st International Conference on Advances in System Testing and Validation Lifecycle, IEEE, pp 80–85 (2009)
5. Briand L., Feng J., Labiche Y.: Using genetic algorithms and coupling measures to devise optimal integration test orders. In: Proceedings of the 14th International Conference on Software Engineering and Knowledge Engineering, pp 43–50 (2002)
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