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Alessio Ferrari
Alessio Ferrari
Research Scientist, ISTI CNR
Verified email at isti.cnr.it - Homepage
Title
Cited by
Cited by
Year
Natural language processing for requirements engineering: A systematic mapping study
L Zhao, W Alhoshan, A Ferrari, KJ Letsholo, MA Ajagbe, EV Chioasca, ...
ACM Computing Surveys (CSUR) 54 (3), 1-41, 2021
2702021
Pure: A dataset of public requirements documents
A Ferrari, GO Spagnolo, S Gnesi
2017 IEEE 25th International Requirements Engineering Conference (RE), 502-505, 2017
1552017
Ambiguity and tacit knowledge in requirements elicitation interviews
A Ferrari, P Spoletini, S Gnesi
Requirements Engineering 21 (3), 333-355, 2016
1252016
Natural language processing for requirements engineering: The best is yet to come
F Dalpiaz, A Ferrari, X Franch, C Palomares
IEEE software 35 (5), 115-119, 2018
1222018
A guidelines framework for understandable BPMN models
F Corradini, A Ferrari, F Fornari, S Gnesi, A Polini, B Re, GO Spagnolo
Data & Knowledge Engineering 113, 129-154, 2018
1182018
Model checking interlocking control tables
A Ferrari, G Magnani, D Grasso, A Fantechi
FORMS/FORMAT 2010: Formal Methods for Automation and Safety in Railway and …, 2011
1062011
Mining commonalities and variabilities from natural language documents
A Ferrari, GO Spagnolo, F Dell'Orletta
Proceedings of the 17th International Software Product Line Conference, 116-120, 2013
942013
An NLP approach for cross-domain ambiguity detection in requirements engineering
A Ferrari, A Esuli
Automated Software Engineering 26 (3), 559-598, 2019
912019
Using NLP to detect requirements defects: An industrial experience in the railway domain
B Rosadini, A Ferrari, G Gori, A Fantechi, S Gnesi, I Trotta, S Bacherini
Requirements Engineering: Foundation for Software Quality: 23rd …, 2017
872017
Detecting requirements defects with NLP patterns: an industrial experience in the railway domain
A Ferrari, G Gori, B Rosadini, I Trotta, S Bacherini, A Fantechi, S Gnesi
Empirical Software Engineering 23 (6), 3684-3733, 2018
842018
Drivers, barriers and impacts of digitalisation in rural areas from the viewpoint of experts
A Ferrari, M Bacco, K Gaber, A Jedlitschka, S Hess, J Kaipainen, ...
Information and Software Technology 145, 106816, 2022
822022
Measuring and improving the completeness of natural language requirements
A Ferrari, F Dell’Orletta, GO Spagnolo, S Gnesi
Requirements Engineering: Foundation for Software Quality: 20th …, 2014
762014
Detecting domain-specific ambiguities: an NLP approach based on Wikipedia crawling and word embeddings
A Ferrari, B Donati, S Gnesi
2017 IEEE 25th International Requirements Engineering Conference Workshops …, 2017
712017
Natural language requirements processing: a 4D vision
A Ferrari, F Dell'Orletta, A Esuli, V Gervasi, S Gnesi
Ieee Software 34 (6), 28-35, 2017
712017
Using collective intelligence to detect pragmatic ambiguities
A Ferrari, S Gnesi
2012 20th IEEE International Requirements Engineering Conference (RE), 191-200, 2012
622012
On the industrial uptake of formal methods in the railway domain
D Basile, MH ter Beek, A Fantechi, S Gnesi, F Mazzanti, A Piattino, ...
International Conference on Integrated Formal Methods, 20--29, 0
62*
Teaching requirements elicitation interviews: an empirical study of learning from mistakes
M Bano, D Zowghi, A Ferrari, P Spoletini, B Donati
Requirements Engineering 24, 259-289, 2019
542019
Pragmatic ambiguity detection in natural language requirements
A Ferrari, G Lipari, S Gnesi, GO Spagnolo
2014 IEEE 1st International Workshop on Artificial Intelligence for …, 2014
522014
Model-based development and formal methods in the railway industry
A Ferrari, A Fantechi, S Gnesi, G Magnani
IEEE software 30 (3), 28-34, 2013
482013
The metrô rio case study
A Ferrari, A Fantechi, G Magnani, D Grasso, M Tempestini
Science of Computer Programming 78 (7), 828-842, 2013
442013
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