Clustering Software Project Components for Strategic Decisions and Building Reuse Libraries

Abstract

A Software Repository is a collection of function codes, library files, software requirement specification documents, software design patterns, architectural specifications to name a few. Software Engineers and Programmers analyse, design, implement, develop and build the software libraries, software projects as a continuous process. Mining Software Components for efficient reuse is the current topic of interest among researchers working in the areas of Software Reuse and Information Retrieval. A comparatively less research is contributed in this direction and has a good scope for research. In this paper, the main idea is to cluster the software projects, software components from the available repository and use these clusters in choosing the suitable software component quickly and efficiently. The software clustering process may also be used to estimate and know the hidden knowledge of software systems. We use the similarity function of our previous work submitted at the ACM ISDOC Conference [12] for the purpose of clustering the software projects and software components. The clusters formed may be used to estimate the hidden knowledge and behavior of software projects. The approach carried out is a feature vector based approach.