Applying the QuARS tool to detect variability
Author:
Affiliation:
1. Università di Firenze, Firenze, Italy
2. ISTI-CNR, Pisa, Italy
3. Università di Pisa, Pisa, Italy
Publisher
ACM Press
Reference3 articles.
1. 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.
2. 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.
3. 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.
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