Title :
ReCVisu: A tool for clustering-based visual exploration of requirements
Author :
Reddivari, Sandeep ; Chen, Zhangji ; Niu, Nan
Author_Institution :
Dept. of Comput. Sci. & Eng., Mississippi State Univ., Starkville, MS, USA
Abstract :
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.
Keywords :
formal verification; pattern clustering; program diagnostics; program visualisation; ReCVisu; layout-based clustering; requirement clustering-based visual exploration; requirements artifacts; requirements engineering; requirements tracing; Context; Filtering; Labeling; Layout; Measurement; USA Councils; Visualization; automatic labeling; layout-based clustering; requirements clustering; requirements visualization; visual exploration;
Conference_Titel :
Requirements Engineering Conference (RE), 2012 20th IEEE International
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4673-2783-1
Electronic_ISBN :
1090-750X
DOI :
10.1109/RE.2012.6345828
