Author:
Akinsanya Barakat J.,Araújo Luiz J. P.,Charikova Mariia,Gimaeva Susanna,Grichshenko Alexandr,Khan Adil,Mazzara Manuel,Ozioma Okonicha N.,Shilintsev Daniil
Publisher
Springer International Publishing
Reference45 articles.
1. Ajitha, S., Kumar, T.S., Geetha, D.E., Kanth, K.R.: Neural network model for software size estimation using use case point approach. In: 2010 5th International Conference on Industrial and Information Systems, pp. 372–376. IEEE (2010)
2. Azzeh, M.: Software effort estimation based on optimized model tree. In: Proceedings of the 7th International Conference on Predictive Models in Software Engineering, p. 6. ACM (2011)
3. Bardsiri, A.K., Hashemi, S.M.: Machine learning methods with feature selection approach to estimate software services development effort. Int. J. Serv. Sci. 6(1), 26–37 (2017)
4. Basheer, I.A., Hajmeer, M.: Artificial neural networks: fundamentals, computing, design, and application. J. Microbiol. Methods 43(1), 3–31 (2000)
5. Baskeles, B., Turhan, B., Bener, A.: Software effort estimation using machine learning methods. In: 2007 22nd International Symposium on Computer and Information Sciences, pp. 1–6. IEEE (2007)
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