TY  - JOUR
T1  - Recovery of Software Module-View using Dependency and Author Entropy of Modules
AU  - Kim, Jung-Min 
AU  - Lee, Chan-Gun 
AU  - Lee, Ki-Seong 
JO  - Journal of KIISE, JOK
PY  - 2017
DA  - 2017/1/14
DO  - 
KW  - software clustering
KW  - dependency
KW  - software module-view recovery
KW  - entropy
AB  - In this study, we propose a novel technique of software clustering to recover the software module-view by using the dependency and author entropy of modules. The proposed method first performs clustering of modules based on structural and logical dependencies, then it migrates selected modules from the clustered result by utilizing the author entropy of each module. In order to evaluate the proposed method, we calculated the MoJoFM values of the recovery result by applying the method to open-source projects among which ground-truth decompositions are well-known. Compared to the MoJoFM values of previously studied techniques, we demonstrated the effectiveness of the proposed method.