Jordi Cabot received his PhD degree in Computer Science from Universitat Politècnica de Catalunya (UPC) in 2006 and his Habilitation (French HdR) from the École Doctorale in Nantes in 2012. He has been a visiting researcher in Milan (Politecnico di Milano) and Toronto (University of Toronto) and an Associate Professor and Inria International Chair at École des Mines de Nantes where he led an Inria Research team in Software Engineering. Since May 2015, he is an ICREA Research Professor at Internet Interdisciplinary Institute (IN3), a research center of the Universitat Oberta de Catalunya (UOC) where he leads the SOM (Systems, Software and Models) research lab. Beyond his core research activities, he books some time for blogging and other dissemination and technology transfer actions.
Research interests
My research falls into the broad area of systems and software engineering, especially promoting the rigorous use of software models and engineering principles in all software engineering tasks while keeping an eye on the most unpredictable element in any project: the people involved in it. Current research topics include the development of pragmatic formal verification techniques to assess the quality and security of software systems, the analysis and data mining of open source projects (and the communities around them) to optimize their collaboration and organizational structures, the study of scalability challenges in the design and deployment of large systems and the role AI can play in software development (and vice versa).
Selected publications
- Burgueno L, Cabot J, Li S & Gerard S 2022, 'A generic LSTM neural network architecture to infer heterogeneous model transformations', Software And Systems Modeling, 21, pages 139–156.
- Reina Quintero AM, Martinez Perez S, Jesus Varela-Vaca A, Gomez Lopez MT & Cabot J 2022, 'A domain-specific language for the specification of UCON policies', Journal Of Information Security And Applications, 64, 103006.
- Canovas Izquierdo JL & Cabot J 2022, 'On the analysis of non-coding roles in open source development An empirical study of NPM package projects', Empirical Software Engineering, 27, 1, 18.
- Cabot J & Vallecillo A 2022, 'Modeling should be an independent scientific discipline', Software And Systems Modeling, 21, 6, 2101 - 2107.
- Shihab E, Wagner S, Gerosa MA, Wessel M & Cabot J 2022, 'The Present and Future of Bots in Software Engineering', Ieee Software, 39, 5, 28 - 31.
- Clarisó R & Cabot J 2022, 'User-driven diverse scenario exploration in model finders', Science of Computer Programming, 215:102745.
Selected research activities
- Keynote speaker at the Enterprise Computing Conference (EDOC'22)
- Received the 10-years Most Influential Paper Award at the Requirements Engineering conference 2022 for the paper “How do software architects consider non-functional requirements: An exploratory study”
- Start of the BOSS National project. BOSS stands for: Bots para Interactuar con Datos Abiertos – Interfaces conversacionales para facilitar el acceso a los datos públicos