Clustering Software Components for Program Restructuring and Component Reuse Using Hybrid XNOR Similarity Function

Chintakindi Srinivas, Vangipuram Radhakrishna, C.V. Guru Rao
2014 Procedia Technology - Elsevier  
Component based software development has gained a lot of practical importance in the field of software engineering from academic researchers and also from industry perspective. Finding components for efficient software reuse is one of the important problems aimed by researchers. Clustering reduces the search space of components by grouping similar entities together thus ensuring reduced time complexity as it reduces the search time for component retrieval. In this research, we instigate a
more » ... lized approach for clustering a given set of documents or software components by defining a similarity function called hybrid XNOR function to find degree of similarity between two document sets or software components. A similarity matrix is obtained for a given set of documents or components by applying hybrid XNOR function. We define and design the algorithm for component or document clustering which has the input as similarity matrix and output being set of clusters. The output is a set of highly cohesive pattern groups or components.
doi:10.1016/j.protcy.2013.12.482 fatcat:uxeuhadsvvexbnqav7fhesisfq