Deep learning approaches for bad smell detection: a systematic literature review
Author:
Publisher
Springer Science and Business Media LLC
Subject
Software
Link
https://link.springer.com/content/pdf/10.1007/s10664-023-10312-z.pdf
Reference130 articles.
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2. Alkharabsheh K, Crespo Y, Manso E, Taboada JA (2019) Software Design Smell Detection: A systematic mapping study. Software Qual J 27(3):1069–1148. https://doi.org/10.1007/s11219-018-9424-8
3. Al-Shaaby A, Aljamaan H, Alshayeb M (2020) Bad Smell Detection Using Machine Learning Techniques: A Systematic Literature Review. Arab J Sci Eng. https://doi.org/10.1007/s13369-019-04311-w
4. Anne-Wil Harzing (2006) Publish or perish. Harzing.Com. Retrieved January 23, 2022, from https://harzing.com/resources/publish-or-perish
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. Neurocomputing 463:454–471. https://doi.org/10.1016/j.neucom.2021.08.010
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