5 papers
Bug-Report-Driven Fault Localization: Industrial Benchmarking and Lesson Learned at ABB Robotics
Pernilla Hall, Anton Ununger, Riccardo Rubei +1
Software quality assurance remains a major challenge in industrial environments, where large-scale and long-lived systems inevitably accumulate defects. Identifying the location of…
Prompt engineering and its implications on the energy consumption of Large Language Models
Riccardo Rubei, Aicha Moussaid, Claudio di Sipio +1
Reducing the environmental impact of AI-based software systems has become critical. The intensive use of large language models (LLMs) in software engineering poses severe challenge…
On the use of Large Language Models in Model-Driven Engineering
Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio +2
Model-Driven Engineering (MDE) has seen significant advancements with the integration of Machine Learning (ML) and Deep Learning (DL) techniques. Building upon the groundwork of pr…
Towards Synthetic Trace Generation of Modeling Operations using In-Context Learning Approach
Vittoriano Muttillo, Claudio Di Sipio, Riccardo Rubei +2
Producing accurate software models is crucial in model-driven software engineering (MDE). However, modeling complex systems is an error-prone task that requires deep application do…
Automated categorization of pre-trained models for software engineering: A case study with a Hugging Face dataset
Claudio Di Sipio, Riccardo Rubei, Juri Di Rocco +2
Software engineering (SE) activities have been revolutionized by the advent of pre-trained models (PTMs), defined as large machine learning (ML) models that can be fine-tuned to pe…