Zobrazeno 1 - 10
of 285
pro vyhledávání: '"PALOMBA, FABIO"'
Context: Software development is a complex socio-technical process requiring a deep understanding of various aspects. In order to support practitioners in understanding such a complex activity, repository process metrics, like number of pull requests
Externí odkaz:
http://arxiv.org/abs/2412.16061
As machine learning (ML) systems are increasingly adopted across industries, addressing fairness and bias has become essential. While many solutions focus on ethical challenges in ML, recent studies highlight that data itself is a major source of bia
Externí odkaz:
http://arxiv.org/abs/2412.15920
This systematic review explores the use of machine learning (ML) in predicting diabetes, focusing on datasets, algorithms, training methods, and evaluation metrics. It examines datasets like the Singapore National Diabetic Retinopathy Screening progr
Externí odkaz:
http://arxiv.org/abs/2412.14736
Autor:
Voria, Gianmario, Lambiase, Stefano, Schiavone, Maria Concetta, Catolino, Gemma, Palomba, Fabio
As the adoption of machine learning (ML) systems continues to grow across industries, concerns about fairness and bias in these systems have taken center stage. Fairness toolkits, designed to mitigate bias in ML models, serve as critical tools for ad
Externí odkaz:
http://arxiv.org/abs/2412.13846
Stakeholders' conversations in requirements elicitation meetings contain valuable information, but manually extracting system requirements from these discussions is a time-consuming and labor-intensive task, and there is a risk of errors and the intr
Externí odkaz:
http://arxiv.org/abs/2411.19552
Autor:
de Martino, Vincenzo, Castaño, Joel, Palomba, Fabio, Franch, Xavier, Martínez-Fernández, Silverio
Context: The emergence of Large Language Models (LLMs) has significantly transformed Software Engineering (SE) by providing innovative methods for analyzing software repositories. Objectives: Our objective is to establish a practical framework for fu
Externí odkaz:
http://arxiv.org/abs/2411.09974
As machine learning (ML) and artificial intelligence (AI) technologies become increasingly prevalent in society, concerns about their environmental sustainability have grown. Developing and deploying ML-enabled systems, especially during training and
Externí odkaz:
http://arxiv.org/abs/2410.06708
Bots are software systems designed to support users by automating a specific process, task, or activity. When such systems implement a conversational component to interact with the users, they are also known as conversational agents. Bots, particular
Externí odkaz:
http://arxiv.org/abs/2409.11864
Investigating the Role of Cultural Values in Adopting Large Language Models for Software Engineering
As a socio-technical activity, software development involves the close interconnection of people and technology. The integration of Large Language Models (LLMs) into this process exemplifies the socio-technical nature of software development. Althoug
Externí odkaz:
http://arxiv.org/abs/2409.05055
Autor:
Voria, Gianmario, Sellitto, Giulia, Ferrara, Carmine, Abate, Francesco, De Lucia, Andrea, Ferrucci, Filomena, Catolino, Gemma, Palomba, Fabio
Machine learning's widespread adoption in decision-making processes raises concerns about fairness, particularly regarding the treatment of sensitive features and potential discrimination against minorities. The software engineering community has res
Externí odkaz:
http://arxiv.org/abs/2408.16683