SDVisu: A tool for clustering-based visual exploration of static dependencies
A large body of research is available on software clustering, and many tools have been developed to comprehend large software systems. However, little attention has been paid to the area of visual clustering. In this paper, we leverage clustering-based visualization to explore static dependencies present in the code base. This paper describes SDVisu, a tool for clustering-based visual exploration of static dependencies. We discuss the key features of SDVisu and improvements for future work.
Proceedings of Computing Conference 2017
Digital Object Identifier (DOI)
Reddivari, Kotapalli, M., & Nan Niu. (2017). SDVisu: A tool for clustering-based visual exploration of static dependencies. 2017 Computing Conference, 1373–1374. https://doi.org/10.1109/SAI.2017.8252271