Applying the QuARS tool to detect variability

This paper describes a research activity aiming at extracting variability information from ambiguities and vagueness of generic requirement doc- uments, written in Natural Language. The proposed activity continues a research stream focusing on techniques to extract variability infor- mation 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.