Software Architecture Recovery Using Integrated Dependencies Based on Structural, Semantic, and Directory Information

Architecture recovery techniques study dependencies in source code and reconstruct architecture. Most either use structural or semantic it is observed that the of directory information helps improving architecture recovery. The research carried out to date has focused on using a very limited manner, trivial manner without considering hierarchy. Further, all three (structural, semantic, directory-structure) are reported be useful but have not been used combined at all. So, this paper proposes new scheme for weighted combination dependencies. A approach designed effectively mine extract Finally, different dependency schemes evaluated with four clustering algorithms open-source projects. obtained results show proposed performs better than existing approaches