Replicated analyses of windowing approach with single company datasets

Authors:
Sousuke Amasaki
Affiliations:
Okayama Prefectural University, Kuboki, Soja, Okayama, Japan
Venue:
Proceedings of the 12th International Conference on Product Focused Software Development and Process Improvement
Year:
2011

Citing 2
Cited 0

An empirical study of maintenance and development estimation accuracy

Journal of Systems and Software
Applying moving windows to software effort estimation

ESEM '09 Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement

Quantified Score

Hi-index	0.00

Visualization

Abstract

In effort estimation model construction, it seems effective to window training project data so that recently finished projects are only used. The past study examined this windowing approach with ISBSG R10 Data. However, this approach has not been validated with single company dataset. Aim: To investigate effects of windowing approach at a company and generality of observations in the past study. Method: We replicated the past study with two other datasets: CSC and Maxwell datasets. Results: Windowing approach improved predictive performance. However, it is practically useful only for Maxwell dataset. Conclusions: This result contributes to understand the effects of windowing approach under practical situation.