35 citations · 46 across the 11 of their papers we have counts for
11 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…
PlayMyData: a curated dataset of multi-platform video games
Andrea D'Angelo, Claudio Di Sipio, Cristiano Politowski +1
Being predominant in digital entertainment for decades, video games have been recognized as valuable software artifacts by the software engineering (SE) community just recently. Su…
Supporting Early-Safety Analysis of IoT Systems by Exploiting Testing Techniques
Diego Clerissi, Juri Di Rocco, Davide Di Ruscio +6
IoT systems complexity and susceptibility to failures pose significant challenges in ensuring their reliable operation Failures can be internally generated or caused by external fa…
Is this Snippet Written by ChatGPT? An Empirical Study with a CodeBERT-Based Classifier
Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio +3
Since its launch in November 2022, ChatGPT has gained popularity among users, especially programmers who use it as a tool to solve development problems. However, while offering a p…
Dealing with Popularity Bias in Recommender Systems for Third-party Libraries: How far Are We?
Phuong T. Nguyen, Riccardo Rubei, Juri Di Rocco +3
Recommender systems for software engineering (RSSEs) assist software engineers in dealing with a growing information overload when discerning alternative development solutions. Whi…
Providing Upgrade Plans for Third-party Libraries: A Recommender System using Migration Graphs
Riccardo Rubei, Davide Di Ruscio, Claudio Di Sipio +2
During the development of a software project, developers often need to upgrade third-party libraries (TPLs), aiming to keep their code up-to-date with the newest functionalities of…
Development of recommendation systems for software engineering: the CROSSMINER experience
Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio +2
To perform their daily tasks, developers intensively make use of existing resources by consulting open-source software (OSS) repositories. Such platforms contain rich data sources,…