Abstract
Some study claim that Base Functional Components (BFCs) contributes to effort at different levels and thus using BFCs instead of Function Points (FP) is better for effort estimation. This study examined the claim with sound filtration and extra-sample error, which were lacked in the past study. As a result, we confirmed that BFCs-based modelings used in the past study was statistically inferior to a FP-based model. We also demonstrated that a BFCs-based model could become comparable to the FP-based model with suitable transformations for BFCs. The result contributes to understand the importance of transformations for BFCs.
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Amasaki, S., Yokogawa, T. (2012). A Study on Predictive Performance of Regression-Based Effort Estimation Models Using Base Functional Components. In: Dieste, O., Jedlitschka, A., Juristo, N. (eds) Product-Focused Software Process Improvement. PROFES 2012. Lecture Notes in Computer Science, vol 7343. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31063-8_27
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DOI: https://doi.org/10.1007/978-3-642-31063-8_27
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