Contribution Of Structural And Semantic Features To Cohesion In Software Module Clustering Using K-Means
Understanding the modular structure of source code is a major challenge in software maintenance. Clustering classes into modules can assist reverse engineering, but its effectiveness depends on feature selection. This study compares the contribution of structural and semantic features to the cohesion of clustering resu...