Research
Scientific Publications
BESSER includes cutting-edge results at the intersection of low-code, modeling and artificial intelligence. See some of the latest results BESSER has been part of!
A Metascience Study of the Low-Code Scientific Field
Mauro Dalle Lucca Tosi, Javier Luis Cánovas Izquierdo, Jordi Cabot. Journal of Object Technology, Volume 24, no. 2 (May 2025), pp. 2:1-14. Paper, Summary.
User Modeling in Model-Driven Engineering: A Systematic Literature Review
Aaron Conrardy, Alfredo Capozucca, Jordi Cabot. Journal of Object Technology, Volume 24, no. 2 (May 2025), pp. 2:1-14. Paper, Summary.
Low-code to fight climate change: the Climaborough project.
Aaron Conrardy, Armen Sulejmani, Cindy Guerlain, Daniele Pagani, David Hick, Matteo Satta, Jordi Cabot. RCIS 2025 Workshops. Paper.
Modeling the obsolescence of models.
Modelling Neural Network Models.
ImageBiTe: A Framework for Evaluating Representational Harms in Text-to-Image Models
On the suitability of hugging face hub for empirical studies
Towards the interoperability of Low-Code platforms.
Iván Alfonso, Aaron David Conrardy, Jordi Cabot. CAiSE Forum 2025: 3-11. Summary
Impromptu: A framework for model-driven prompt engineering
Sergio Morales, Robert Clarisó, Jordi Cabot. Softw Syst Model (2025). Paper.
On the Creation of Representative Samples of Software Repositories
Gorostidi, June, Adem Ait, Jordi Cabot, and Javier Luis Canovas Izquierdo. Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, pp. 434-439. Paper.
Application of the Tree-of-Thoughts Framework to LLM-Enabled Domain Modeling
Jonathan Silva, Qin Ma, Jordi Cabot, Pierre Kelsen, Henderik A Proper. International Conference on Conceptual Modeling, pp. 94-111. Paper.
Towards Data Interoperability for the Digital Product Passport Ecosystem
Low-Code Flutter Application Development Solution
Atefeh Nirumand Jazi, Iván Alfonso, Jordi Cabot. Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems. Paper.
A DSL for Testing LLMs for Fairness and Bias
Morales, Sergio, Robert Clarisó, and Jordi Cabot. Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems, pp. 203-213. Paper.
From Image to UML: First results of image based UML diagram generation using LLMs.
Aaron Conrardy, Jordi Cabot: STAF 2024 Workshops: AgileMDE, LLM4MDE, and MeSS. pp. 55–65. CEUR Workshop Proceedings. Paper
Exploring the use of software product lines for the combination of machine learning models.
Extending a low-code tool with multi-cloud deployment capabilities
Automatic Generation of Conversational Interfaces for Tabular Data Analysis
What makes a good modeling research contribution?
HFCommunity: An extraction process and relational database to analyze Hugging Face Hub data
LangBiTe: An open-source platform to automate bias testing of large language models
Morales, Sergio, Robert Clarisó, and Jordi Cabot. Software X, volume 31. Paper.
A Framework to Model ML Engineering Processes
Morales, Sergio, Robert Clarisó, and Jordi Cabot. Paper.
Building BESSER: An Open-Source Low-Code Platform
Alfonso, Iván, Aaron Conrardy, Armen Sulejmani, Atefeh Nirumand, Fitash Ul Haq, Marcos Gomez-Vazquez, Jean-Sébastien Sottet, and Jordi Cabot. In International Conference on Business Process Modeling, Development and Support. Paper.
On the Readiness of Scientific Data Papers for a Fair and Transparent Use in Machine Learning
Giner-Miguelez, Joan, Abel Gómez, and Jordi Cabot. Sci Data 12, 61. Paper.
A leaderboard to benchmark ethical biases in LLMs.
Modeling and enforcing access control policies in conversational user interfaces
A tool for the definition and deployment of platform-independent bots on open source projects.
On the Suitability of Hugging Face Hub for Empirical Studies
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Datadoc analyzer: A tool for analyzing the documentation of scientific datasets
Giner-Miguelez, Joan, Abel Gómez, and Jordi Cabot. Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, pp. 5046-5050. Paper.