Using Machine Learning for Inter-smell Detection: A Feasibility Study
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-21385-4_25
Reference39 articles.
1. Lecture Notes in Computer Science;M Fowler,2002
2. Mäntylä, M., Vanhanen, J., Lassenius, C.: A taxonomy and an initial empirical study of bad smells in Code. IEEE Int. Conf. Softw. Maintenance, ICSM 381–384 (2003). https://doi.org/10.1109/icsm.2003.1235447
3. Rasool, G., Arshad, Z.: A lightweight approach for detection of code smells. Arab. J. Sci. Eng. 42(2), 483–506 (2016). https://doi.org/10.1007/s13369-016-2238-8
4. AlShaaby, A., Aljamaan, H., Alshayeb, M.: Bad smell detection using machine learning techniques: a systematic literature review. Arab. J. Sci. Eng. 45(4), 2341–2369 (2020). https://doi.org/10.1007/s13369-019-04311-w
5. AbuHassan, A., Alshayeb, M., Ghouti, L.: Software smell detection techniques: A systematic literature review. J. Softw. Evol. Process. 1–48 (2020). https://doi.org/10.1002/smr.2320
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