Author:
Bnouni Rhim Nesrine,Ben Mabrouk Mouna
Publisher
Springer International Publishing
Reference27 articles.
1. Hu, G., Zhu, L., Yang, J.: AppFlow: using machine learning to synthesize robust, reusable UI tests. In: Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 269–282 (2018)
2. Gul, S., van Oort, E.: A machine learning approach to filtrate loss determination and test automation for drilling and completion fluids. J. Pet. Sci. Eng. 186, 106727 (2020)
3. Kim, J., Ryu, J.W., Shin, H.-J., Song, J.-H.: Machine learning frameworks for automated software testing tools: a study. Int. J. Contents 13(1), 38–44 (2017)
4. Durelli, V.H.S., et al.: Machine learning applied to software testing: a systematic mapping study. IEEE Trans. Reliab. 68(3), 1189–1212 (2019)
5. Zhang, J.M., Harman, M., Ma, L., Liu, Y.: Machine learning testing: survey, landscapes and horizons. IEEE Trans. Softw. Eng. (2020)
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献