ReCVisu: A tool for clustering-based visual exploration of requirements

Autor: Zhangji Chen, Sandeep Reddivari, Nan Niu
Rok vydání: 2012
Předmět:
Zdroj: RE
DOI: 10.1109/re.2012.6345828
Popis: Clustering is of great practical value in discovering natural groupings of large numbers of requirements artifacts. Clustering-based visualization has shown promise in supporting requirements tracing. In this paper, we transform the success to a wider range of clustering-based visual exploration tasks in requirements engineering. We describe ReCVisu, a requirements exploration tool based on quantitative visualizations. We discuss the key features of ReCVisu and its potential improvements over previous work.
Databáze: OpenAIRE