A Reinforcement Learning Method for Generating Class Integration Test Orders Considering Dynamic Couplings
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8082-6_8
Reference25 articles.
1. Vinyals, O., et al.: Grandmaster level in starcraft ii using multi-agent reinforcement learning. Nature 575(7782), 350–354 (2019)
2. Luong, N.C., et al.: Applications of deep reinforcement learning in communications and networking: a survey. IEEE Commun. Surv. Tutor. 21(4), 3133–3174 (2019)
3. Spieker, H., Gotlieb, A., Marijan, D., Mossige, M.: Reinforcement learning for automatic test case prioritization and selection in continuous integration. In: ACM SIGSOFT International Symposium on Software Testing and Analysis, pp. 12–22 (2017)
4. Sutton, R.S., Barto, A.G.: Reinforcement Learning: An Introduction. MIT press, Massachusetts (2018)
5. Czibula, G., Czibula, I.G., Marian, Z.: An effective approach for determining the class integration test order using reinforcement learning. Appl. Soft Comput. 65, 517–530 (2018)
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