Registered user since Wed 6 Feb 2019
Ferrari is senior 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 primary research interests are: applications of natural language processing (NLP) techniques to requirements engineering (RE); user and customer interviews in RE; RE education and training; empirical formal methods and empirical software engineering.
He is part of the EU DESIRA and CODECS projects on sustainability. He has recently been WP leader of the European Project ASTRail, funded by the Shift2Rail Programme, and participated in other EU projects, such as Learn PAd, about business process models applied to public administration procedures, and 4SecuRail, about formal methods in railways.
He regularly serves in the PC of ICSE, IEEE RE, REFSQ, AIRE, is one of the founders of the NLP4RE workshop series, has been the Local Organiser of REFSQ 2020, and Program Chair of REFSQ 2023. He is highly involved in open science, and has been Artifact Evaluation Chair of FormaliSE 2023, RE 2022, and iFM 2022. He is also part of the TOSEM Replicated Computational Results Distinguished Reviewers Board. Youtube Channel for Empirical Software Engineering Lectures: https://www.youtube.com/channel/UCRkzTBKKZiS23fxz1LIP45Q
SlideShare Page for slides: https://www2.slideshare.net/alessio_ferrari/presentations
ResearchGate for preprints: https://www.researchgate.net/profile/Alessio_Ferrari2
Follow him at https://twitter.com/alessferra
Contributions
2023
ICSE
International Conference on Program Comprehension
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