An evaluation of source code mining techniques

This paper reviews the tools and techniques which rely only on data mining methods to determine patterns from source code such as programming rules, copy paste code segments, and API usage. The work provides comparison and evaluation of the current state-of-the-art in source code mining techniques. Furthermore it identifies the essential strengths and weaknesses of individual tools and techniques to make an evaluation indicative of future potential. The pervious related works only focus on one specific pattern being mined such as special kind of bug detection. Thus, there is a need of multiple tools to test and find potential information from software which increase cost and time of development. Hence there is a strong need of tool which helps in developing quality software by automatically detecting different kind of bugs in one pass and also provides code reusability for the developers.