Developing a CPCM based on Version History data and Change Couplings
Béla Grossmann, Martin Pinzger · 2012
Software maintenance and evolution is an expensive part in the life cycle of a software system. It is of great interest to apply cost estimation models to predict future maintenance costs, especially for the management. In this thesis we examine if release history database metrics like change couplings and modification reports can support the prediction of software maintenance and evolution costs. In three approaches we show the development of a change prediction cost model. This thesis presents an insight into the data retrieval and provides a detailed description of the significance analysis of the input values.