Publisher
Springer Science and Business Media LLC
Subject
Safety, Risk, Reliability and Quality,Software
Reference76 articles.
1. Akour, M., Alsghaier, H., & Al Qasem, O. (2020). The effectiveness of using deep learning algorithms in predicting students achievements. Indonesian Journal of Electrical Engineering and Computer Science, 19, 387–393.
2. Al Qasem, O., & Akour, M. (2019). Software fault prediction using deep learning algorithms. International Journal of Open Source Software and Processes (IJOSSP), 10, 1–19.
3. Al Qasem, O., Akour, M., & Alenezi, M. (2020). The influence of deep learning algorithms factors in software fault prediction. IEEE Access, 8, 63945–63960.
4. Ali, A., & Gravino, C. (2021). An empirical comparison of validation methods for software prediction models. Journal of Software: Evolution and Process, 33, e2367.
5. Ali, H., & Khan, T. A. (2019). On fault localization using machine learning techniques. In: 2019 International Conference on Frontiers of Information Technology (FIT), IEEE. pp. 357–3575.
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