Alessandro Fantechi
ABSTRACT
In this demo paper we present how to use the QuARS tool to extract variability information from requirements documents. The main functionality of QuARS is to detect ambiguity in Natural Language (NL) requirement documents.
Ambiguity in requirements may be due to intentional or unintentional indication of possible variability; an ambiguity detecting tool can hence be useful to analysts and clients to figure the potential of a requirements document to describe a family of different products.
- A. Fantechi, A. Ferrari, S. Gnesi, and L. Semini. Hacking an ambiguity detection tool to extract variation points: an experience report. In R. Capilla, M. Lochau, and L. Fuentes, editors, Proceedings of the 12th International Workshop on Variability Modelling of Software-Intensive Systems, VAMOS 2018, Madrid, Spain, February 7--9, 2018, pages 43--50. ACM, 2018. Google Scholar
Digital Library
- A. Fantechi, A. Ferrari, S. Gnesi, and L. Semini. Requirement engineering of software product lines: Extracting variability using NLP. In G. Ruhe, W. Maalej, and D. Amyot, editors, 26th IEEE International Requirements Engineering Conference, RE 2018, Banff, AB, Canada, August 20--24, 2018, pages 418--423. IEEE Computer Society, 2018.Google Scholar
- A. Fantechi, S. Gnesi, and L. Semini. Ambiguity defects as variation points in requirements. In Proc. of the Eleventh International Workshop on Variability Modelling of Software-intensive Systems, VAMOS '17, pages 13--19, New York, NY, USA, 2017. ACM. Google ScholarDigital Library
Index Terms
- Applying the QuARS Tool to Detect Variability
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