AI-powered model repair: an experience report—lessons learned, challenges, and opportunities

A Barriga, A Rutle, R Heldal - Software and Systems Modeling, 2022 - Springer
Artificial intelligence has already proven to be a powerful tool to automate and improve how
we deal with software development processes. The application of artificial intelligence to …

Learning constraints through partial queries

C Bessiere, C Carbonnel, A Dries, E Hebrard… - Artificial Intelligence, 2023 - Elsevier
Learning constraint networks is known to require a number of membership queries
exponential in the number of variables. In this paper, we learn constraint networks by asking …

Human-centric ontology evaluation: process and tool support

S Tsaneva, K Käsznar, M Sabou - International Conference on Knowledge …, 2022 - Springer
As ontologies enable advanced intelligent applications, ensuring their correctness is crucial.
While many quality aspects can be automatically verified, some evaluation tasks can only be …

Computational Approaches to Concepts Representation: A Whirlwind Tour

M Fumagalli, R Baratella, M Frixione, D Porello - Acta Analytica, 2024 - Springer
The modelling of concepts, besides involving disciplines like philosophy of mind and
psychology, is a fundamental and lively research problem in several artificial intelligence …

Conceptual model visual simulation and the inductive learning of missing domain constraints

M Fumagalli, TP Sales, FA Baião… - Data & Knowledge …, 2022 - Elsevier
Conceptual modeling plays a fundamental role in information systems engineering, and in
data and systems interoperability. To play their role as instruments for domain modeling …

AI-powered model repair: an experience report—lessons learned, challenges, and opportunities

A Barriga Rodriguez, A Rutle, R Heldal - 2022 - hvlopen.brage.unit.no
Artificial intelligence has already proven to be a powerful tool to automate and improve how
we deal with software development processes. The application of artificial intelligence to …