Detecting Design Patterns in Object-Oriented Program Source Code by Using Metrics and Machine Learning
Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=51394#.VGlWmWfHRK0 Author(s) Satoru Uchiyama , Atsuto Kubo , Hironori Washizaki , Yoshiaki Fukazawa Affiliation(s) Department of Computer Science and Engineering, Waseda University, Tokyo, Japan . ABSTRACT Detecting well-known design patterns in object-oriented program source code can help maintainers understand the design of a program. Through the detection, the understandability, maintainability, and reusability of object-oriented programs can be improved. There are automated detection techniques; however, many existing techniques are based on static analysis and use strict conditions composed on class structure data. Hence, ...