• DocumentCode
    2072716
  • 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
  • fYear
    2012
  • fDate
    24-28 Sept. 2012
  • Firstpage
    327
  • Lastpage
    328
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Requirements Engineering Conference (RE), 2012 20th IEEE International
  • Conference_Location
    Chicago, IL
  • ISSN
    1090-750X
  • Print_ISBN
    978-1-4673-2783-1
  • Electronic_ISBN
    1090-750X
  • Type

    conf

  • DOI
    10.1109/RE.2012.6345828
  • Filename
    6345828