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Information Theoretic Evaluation of Change Prediction Models for Large-Scale Software (2006)
| Content Provider | CiteSeerX |
|---|---|
| Author | Askari, Mina |
| Abstract | During software development and maintenance, as a software system evolves, changes are made and bugs are fixed in various files. In large-scale systems, file histories are stored in software repositories, such as CVS, which record modifica-tions. By studying software repositories, we can learn about open source software development processes. Knowing where these changes will happen in advance, gives power to managers and developers to concentrate on those files. Due to the unpredictability in software development process, proposing an accurate change prediction model is hard. It is even harder to compare different models with the actual model of changes that is not available. In this |
| File Format | |
| Publisher Date | 2006-01-01 |
| Access Restriction | Open |
| Subject Keyword | Information Theoretic Evaluation Change Prediction Model Large-scale Software Software Repository Software Development Open Source Software Development Large-scale System File History Software Development Process Software System Accurate Change Prediction Model Actual Model Different Model Various File |
| Content Type | Text |