LIU, GENG

LIU, GENG  

DIPARTIMENTO DI SCIENZE TEORICHE E APPLICATE  

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Titolo Data di pubblicazione Autore(i) File
A Report on Using Simplified Function Point Measurement Processes 1-gen-2012 Lavazza, LUIGI ANTONIO; Liu, Geng
A Role for Toll-Like Receptor 4 Activation by the High Mobility Group Box 1 (Hmgb1) Protein in Ictogenesis 1-gen-2009 Maroso, Mattia; Balosso, ; Ravizza, S; Vanzulli, T; Aronica, I; Molteni, E; Rossetti, M; C, ; Liu, Geng
An Empirical Evaluation of the Accuracy of NESMA Function Points Estimates 1-gen-2019 Lavazza, LUIGI ANTONIO; Liu, Geng
Early and quick function points analysis: Evaluations and proposals 1-gen-2021 Liu, G.; Lavazza, L.
Estimating software functional size via machine learning 1-gen-2023 Lavazza, L.; Locoro, A.; Liu, G.; Meli, R.
Evolution of functional size measures through ICONIX process phases 1-gen-2019 Liu, G.; Lavazza, L.; Tosi, D.
Model-based Simplified Functional Size Measurement – an Experimental Evaluation with COSMIC Function Points 1-gen-2013 DEL BIANCO, Vieri; Lavazza, LUIGI ANTONIO; Liu, Geng; Morasca, Sandro; Abualkishik, A. Z.
Productivity of Software Enhancement Projects: an Empirical Study 1-gen-2020 Lavazza, LUIGI ANTONIO; Liu, Geng; Meli, Roberto
Using Extremely Simplified Functional Size Measures for Effort Estimation 1-gen-2020 Lavazza, Luigi; Liu, Geng; Meli, Roberto
Using Locally Weighted Regression to Estimate the Functional Size of Software: an Empirical Study 1-gen-2022 Lavazza, LUIGI ANTONIO; Locoro, Angela; Liu, Geng; Meli, Roberto