Just-in-time software defect prediction using deep temporal convolutional networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-021-06659-3.pdf
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4. Ardimento P, Aversano L, Bernardi ML, Cimitile M (2020) Temporal convolutional networks for just-in-time software defect prediction. In M. van Sinderen, H. Fill, L.A. Maciaszek (eds.) Proceedings of the 15th International Conference on Software Technologies, ICSOFT 2020, Lieusaint, Paris, France, July 7-9, 2020, pp 384–393. ScitePress. https://doi.org/10.5220/0009890003840393
5. Ardimento P, Aversano L, Bernardi ML, Cimitile M, Iammarino M (2021) Temporal convolutional networks for just-in-time design smells prediction using fine-grained software metrics. Neurocomput 463:454–471. 10.1016/j.neucom.2021.08.010. https://www.sciencedirect.com/science/article/pii/S0925231221011942
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