Fit Data Selection based on Project Features for Software Effort Estimation Models
K. Toda, Akito Monden, Kenichi Matsumoto · Advances in Computer Science and Engineering · 2010
To construct a better multivariate regression model forsoftware effort estimation, this paper proposes a methodto automatically select projects as fit data (a dataset formodel construction) from a given project data set basedon an estimation target's features.