Software Effort Estimation Using Stacked Ensemble Technique and Hybrid Principal Component Regression and Multivariate Adaptive Regression Splines
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11277-024-11010-9.pdf
Reference27 articles.
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3. Singh, S. P., Singh, V. P., & Mehta, A. K. (2021). Differential evolution using homeostasis adaption based mutation operator and its application for software cost estimation. Journal of King Saud University-Computer and Information Sciences, 33(6), 740–752.
4. Jørgensen, M. (2007). Forecasting of software development work effort: Evidence on expert judgement and formal models. International Journal of Forecasting, 23(3), 449–462.
5. Grimstad, S., & Jørgensen, M. (2007). Inconsistency of expert judgment-based estimates of software development effort. Journal of Systems and Software, 80(11), 1770–1777.
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