Registered user since Wed 6 Feb 2019
Name: Alessio Ferrari
Bio: Ferrari is research scientist at CNR-ISTI (Consiglio Nazionale delle Ricerche - Istituto di Scienza e Tecnologia dell’Informazione “A. Faedo”, Pisa, Italy - http://www.isti.cnr.it), where he worked as post-doc researcher and temporary research scientist since 2011.
He received his Ph. D. in Computer Engineering from the University of Florence, Italy, in 2011. During the Ph. D., he worked as system engineer at General Electric Transportation Systems (GETS) s.p.a., a world leading railway signalling company.
His current research interests are primarily applications of natural language processing (NLP) techniques to requirements engineering (RE). In particular, his main focus is natural language ambiguity detection and mistakes identification in requirements elicitation interviews and requirements documents. Part of his research is also dedicated to the application of semi-formal and formal modelling techniques to industrial case studies.
Ferrari is currently WP leader of the European Project ASTRail (http://www.astrail.eu), funded by the Shift2Rail Programme. He is in the PC of ICSE 2020, IEEE RE 2019, REFSQ 2019, he is co-organiser of the NLP4RE workshop (http://fmt.isti.cnr.it/nlp4re/), and will be local organiser of REFSQ 2020.
Follow him at https://twitter.com/alessferra
Affiliation: Istituto di Scienza e Tecnologie dell’Informazione “Alessandro Faedo”
Personal website: http://alessiofer.wixsite.com/alessioferrari
Research interests: Software Engineering, Requirements Engineering, Natural Language Processing, Empirical Software Engineering, Interviews
|ICSE 2020||Programme Committee in Program Committee within the Technical Papers-track|
Author of Comparing Formal Tools for System Design: a Judgment Study within the Technical Papers-track
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