Publication Date:
2019
abstract:
This paper describes a research activity aiming at extracting variability information from ambiguities and vagueness of generic requirement documents, written in Natural Language. The proposed activity continues a research stream focusing on techniques to extract variability information from requirement documents. Here, we study the introduction of a process able to distinguish structural from functional variability, both in the extracted variability model and in the derived lower-level requirements. The problem is stated with reference to an example, a solution proposal is sketched together with related research questions, and a validation path is envisaged.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Natural languages; Requirements engineering; Variability information; Variability model
List of contributors:
Fantechi, Alessandro; Semini, Laura; Gnesi, Stefania
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