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Applying moving windows to software effort estimation

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2 Author(s)
Chris Lokan ; School of Engineering and IT, Canberra, Australia ; Emilia Mendes

Models for estimating software development effort are commonly built and evaluated using a set of historical projects. An important question is which projects to use as training data to build the model: should it be all of them, or a subset that seems particularly relevant? One factor to consider is project age: is it best to use the entire history of past projects, or is it more appropriate in a rapidly changing world to use a window of recent projects? We investigate the effect on estimation accuracy of using a moving window, using projects from the ISBSG data set. We find that using a moving window can improve accuracy, and we make some observations about factors that influence the range of possible window sizes and the best window size.

Published in:

2009 3rd International Symposium on Empirical Software Engineering and Measurement

Date of Conference:

15-16 Oct. 2009