In this article, we identify that partial, vague and conflicting information can severely limit the effectiveness of approaches that derive feature trees from textual requirement specifications. We examine the impact such imperfect information has on feature tree extraction and we propose the use of fuzzy feature diagrams to address the problem more effectively. This approach is then discussed as part of a general research agenda for supporting imperfect information in models that are used during variability analysis.
|Publisher||Universität Duisburg Essen|
|Workshop||Third International Workshop on Variability Modelling of Software-intensive Systems, VaMoS 2009|
|Period||28/01/09 → 30/01/09|
|Other||28-30 Jan 2009|
- SE-SC: Soft Computing applied to Software Engineering