Multi-Parameter Summarization for Software Architecture Recovery

Abstract: Software architecture is identified as an important element in the successful development and evolution of software systems. In spite of the significant role of architecture representation and modeling, many existing software systems like legacy or eroded ones do not have a consistent architecture representation. There have been several algorithms on Architecture recovery utilizing various aspects of similarity measures, clustering, lexical rules and distance measures. It is understood from the literature that no single technique can give best interpretation or desired result in the summarization process. Therefore in this work we propose a multi parameter summarization for extracting high level software architecture with the help of Bipartite graph matching and semantic similarity.

Keywords: Software architecture recovery, bipartite matching, semantic similarity