Knowledge Extraction from Software Engineering Repositories

Software engineering processes are hard to understand, and related tasks frequently produce lot of information which can be used for development of strategy for future Projects. In the last decade, a large number of software data sets have been created for different purposes, however as the challenges in the development and maintenance of software are increased the need for novel approaches to make use of the collected data is also increased. The demands for reduced development time and increased reliability of software also necessitated the need for knowledge extraction from the previously collected data sets. In this paper a detailed survey is conducted on the available methods for the knowledge extraction from the software engineering data bases to forecast and aid in improved development and maintenance phases of software.