VisioTM: A Tool for Visualizing Source Code Based on Topic Modeling
Sandeep Reddivari, Mohammed Salman Khan · 2019
Latent Dirichlet Allocation (LDA) is a statistical topic modeling approach that has been used to support various software engineering activities. However, the main problem is the probabilistic distributions generated by LDA to represent topics and documents are not intuitive and easy to comprehend. In order to address this problem, in this paper, we present VisioTM, a language-independent platform to visualize software systems based on LDA. VisioTM provides several visualizations to represent the basic elements of LDA including words, topics, and documents. We discuss the key features and functionalities of the tool.