A Severity-Based Classification Assessment of Code Smells in Kotlin and Java Application
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-021-06077-6.pdf
Reference46 articles.
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3. Flauzino, M.; Veríssimo, J.; Terra, R.; Cirilo, E.; Durelli, V.H.S.; Durelli, R.S.: Are you still smelling it? In: Proceedings of the VII Brazilian Symposium on Software Components, Architectures, and Reuse on SBCARS ’18. ACM Press (2018)
4. Tufano, M.; Palomba, F.; Bavota, G.; Oliveto, R.; Di Penta, M.; De Lucia, A.; Poshyvanyk, D.: When and why your code starts to smell bad. In: 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering. IEEE (2015). https://doi.org/10.1109/icse.2015.59
5. Arcelli Fontana, F.; Zanoni, M.: Code smell severity classification using machine learning techniques. Knowl.-Based Syst. 128, 43–58 (2017). https://doi.org/10.1016/j.knosys.2017.04.014
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