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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lokan, C. Mendes, E. |
| Copyright Year | 2009 |
| Description | Author affiliation: School of Engineering and IT, Canberra, Australia (Lokan, C.) || Department of Computer Science, University of Auckland, Auckland, New Zealand (Mendes, E.) |
| Abstract | 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. |
| Starting Page | 111 |
| Ending Page | 122 |
| File Size | 1426867 |
| Page Count | 12 |
| File Format | |
| ISBN | 9781424448425 |
| ISSN | 19386451 |
| DOI | 10.1109/ESEM.2009.5316019 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-10-15 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer science Training data Programming Predictive models Size measurement Software measurement History Application software Software engineering Testing |
| Content Type | Text |
| Resource Type | Article |
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