Using Locally Weighted Regression to Estimate the Functional Size of Software: an Empirical Study

Autor:	Lavazza, LUIGI ANTONIO, Locoro, Angela, Liu, Geng, Roberto, Meli
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	LOcally Estimated Scatterplot Smoothing (LOESS) High-level FPA Function Point Analysis Simple Function Points Function Point Analysis Early Size Estimation High-level FPA Simple Function Points LOcally Estimated Scatterplot Smoothing (LOESS) Early Size Estimation
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=od______3660::e44ac4b5d81d061cf9f8fadd0ca77620 https://hdl.handle.net/11383/2155552 Zobrazit plný text záznamu