Identification of Fault Prone Modules in Open Source Software Systems Using Hierarchical Based Clustering
Clustering algorithms are being successfully applied for solving both classification and regression problems. It is therefore important to investigate the capabilities of this algorithm in predicting software quality. Hence, in this paper, a Hierarchical Clustering Based Approach is used for finding faulty Modules in Open Source Software Systems. In order to perform the analysis the authors validate the performance of the Hierarchical Clustering Based Approach using open source software JEdit. In this, they investigate the capability of Hierarchical Clustering Based Approach in predicting faulty classes.