Can cross-company data improve performance in software effort estimation?
Leandro Lei Minku, Xin Yao · 2012
Background: There has been a long debate in the software engineering literature concerning how useful cross-company (CC) data are for software effort estimation (SEE) in comparison to within-company (WC) data. Studies indicate that models trained on CC data obtain either similar or worse performance than models trained solely on WC data.