World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
3309
World Ranking
14165
National Ranking
226

Best Publications

  • Natural Language Processing for Requirements Engineering: A Systematic Mapping Study

    Liping Zhao;Waad Alhoshan;Alessio Ferrari;Keletso J. Letsholo

  • System design: traditional concepts and new paradigms

    A. Ferrari;A. Sangiovanni-Vincentelli

  • PURE: A Dataset of Public Requirements Documents

    Alessio Ferrari;Giorgio Oronzo Spagnolo;Stefania Gnesi

  • A Guidelines framework for understandable BPMN models

    Flavio Corradini;Alessio Ferrari;Fabrizio Fornari;Stefania Gnesi

  • Natural Language Processing for Requirements Engineering: The Best Is Yet to Come

    Fabiano Dalpiaz;Alessio Ferrari;Xavier Franch;Cristina Palomares

  • Ambiguity and tacit knowledge in requirements elicitation interviews

    Alessio Ferrari;Paola Spoletini;Stefania Gnesi

  • Model Checking Interlocking Control Tables

    Alessio Ferrari;Alessio Ferrari;Gianluca Magnani;Daniele Grasso;Alessandro Fantechi

  • An NLP approach for cross-domain ambiguity detection in requirements engineering

    Alessio Ferrari;Andrea Esuli

  • Mining commonalities and variabilities from natural language documents

    Alessio Ferrari;Giorgio O. Spagnolo;Felice Dell'Orletta

  • Detecting requirements defects with NLP patterns: an industrial experience in the railway domain

    Alessio Ferrari;Gloria Gori;Benedetta Rosadini;Iacopo Trotta

  • Using NLP to Detect Requirements Defects: An Industrial Experience in the Railway Domain

    Benedetta Rosadini;Alessio Ferrari;Gloria Gori;Alessandro Fantechi

  • Measuring and Improving the Completeness of Natural Language Requirements

    Alessio Ferrari;Felice Dell'Orletta;Giorgio Oronzo Spagnolo;Stefania Gnesi

  • Zero-shot learning for requirements classification: An exploratory study

    Unknown

  • Natural Language Requirements Processing: A 4D Vision

    Alessio Ferrari;Felice DellOrletta;Andrea Esuli;Vincenzo Gervasi

  • Using machine learning to predict soil bulk density on the basis of visual parameters: Tools for in-field and post-field evaluation

    Giulia Bondi;Rachel Creamer;Alessio Ferrari;Owen Fenton

  • Detecting Domain-Specific Ambiguities: An NLP Approach Based on Wikipedia Crawling and Word Embeddings

    Alessio Ferrari;Beatrice Donati;Stefania Gnesi

  • On the Industrial Uptake of Formal Methods in the Railway Domain

    Davide Basile;Davide Basile;Maurice H. ter Beek;Alessandro Fantechi;Alessandro Fantechi;Stefania Gnesi

  • Teaching requirements elicitation interviews: an empirical study of learning from mistakes

    Muneera Bano;Didar Zowghi;Alessio Ferrari;Paola Spoletini

  • Using collective intelligence to detect pragmatic ambiguities

    Alessio Ferrari;Stefania Gnesi

  • Systematic Evaluation and Usability Analysis of Formal Methods Tools for Railway Signaling System Design

    Alessio Ferrari;Franco Mazzanti;Davide Basile;Maurice Ter Beek

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