A Systematic Review of Software Fault Prediction Using Deep Learning: Challenges and Future Perspectives
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9518-9_39
Reference48 articles.
1. Wahono RS (2015) A systematic literature review of software defect prediction. J Softw Eng 1(1):1–16
2. Lessmann S, Baesens B, Mues C, Pietsch S (2008) Benchmarking classification models for software defect prediction: a proposed framework and novel findings. IEEE Trans Softw Eng 34(4):485–496
3. Menzies T, Greenwald J, Frank A (2006) Data mining static code attributes to learn defect predictors. IEEE Trans Softw Eng 33(1):2–13
4. Rodríguez D, Ruiz R, Riquelme JC, Aguilar-Ruiz JS (2012) Searching for rules to detect defective modules. Inf Sci Inf Comput Sci Intell Syst Appl Int J 191:14–30. https://doi.org/10.1016/J.INS.2011.01.039
5. LeCun Y, Bengio Y, Hinton G (2015) Deep learning. Nature 521:436–444. https://doi.org/10.1038/nature14539
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