Local vs. global models for effort estimation and defect prediction

Abstract

Data miners can infer rules showing how to improve either (a) the effort estimates of a project or (b) the defect predictions of a software module. Such studies often exhibit conclusion instability regarding what is the most effective action for different projects or modules.

DOI: 10.1109/ASE.2011.6100072

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@article{Menzies2011LocalVG, title={Local vs. global models for effort estimation and defect prediction}, author={Tim Menzies and Andrew Butcher and Andrian Marcus and Thomas Zimmermann and David R. Cok}, journal={2011 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011)}, year={2011}, pages={343-351} }