Grupo Alarcos · Conference paper · 2008
Combining Different Change Prediction Techniques
Daniel Cabrero Moreno, Javier Garzás Parra, Mario Piattini Velthuis
This work contributes to software change prediction research and practice in three ways. Firstly, it reviews and classifies the different types of techniques used to predict change. Secondly, it provides a framework for testing those techniques in different contexts and for doing so automatically. This framework is used to find the best combination of techniques for a specific project (or group of projects) scenario. In third place, it provides a new prediction technique based on what the expectation of change is, from the user’s point of view. This new proposal is based on a gap found in the relevant research, during the course of a review of the relevant literature.
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