A Replication of Comparative Study of Moving Windows on Linear Regression and Estimation by Analogy
Sousuke Amasaki, Chris Lokan · 2015
Context: Recent studies have shown that estimation accuracy can be affected by only using a window of recent projects as training data for building an effort estimation model. The effect and its extent can be affected by effort estimation methods (e.g. linear regression (LR) or estimation by analogy (EbA)), windowing policies (fixed-size or fixed-duration), and between organizations. However, different effects between organizations have only been explored with LR as the estimation method, and different effects between estimation methods and windowing policies have mainly been explored with data from only one organization.