Zobrazeno 1 - 10
of 11 359
pro vyhledávání: '"A, Baldassarre"'
Context: This study explores how software professionals identify and address biases in AI systems within the software industry, focusing on practical knowledge and real-world applications. Goal: We aimed to understand the strategies employed by pract
Externí odkaz:
http://arxiv.org/abs/2409.02432
Autor:
Ana, Díaz-Muñoz, A., Cruz-Lemus José, Moisés, Rodríguez, Mario, Piattini, Teresa, Baldassarre Maria
In the context of quantum-classical hybrid computing, evaluating analysability, which is the ease of understanding and modifying software, presents significant challenges due to the complexity and novelty of quantum algorithms. Although advances have
Externí odkaz:
http://arxiv.org/abs/2408.01105
Autor:
Kalinowski, Marcos, Mendez, Daniel, Giray, Görkem, Alves, Antonio Pedro Santos, Azevedo, Kelly, Escovedo, Tatiana, Villamizar, Hugo, Lopes, Helio, Baldassarre, Teresa, Wagner, Stefan, Biffl, Stefan, Musil, Jürgen, Felderer, Michael, Lavesson, Niklas, Gorschek, Tony
Context: Machine learning (ML)-enabled systems are being increasingly adopted by companies aiming to enhance their products and operational processes. Objective: This paper aims to deliver a comprehensive overview of the current status quo of enginee
Externí odkaz:
http://arxiv.org/abs/2406.04359
Autor:
Baldassarre, Maria Teresa, Gigante, Domenico, Kalinowski, Marcos, Ragone, Azzurra, Tibidò, Sara
Publikováno v:
28th International Conference on Evaluation and Assessment in Software Engineering (EASE 2024), June 18-21, 2024, Salerno, Italy
Recently, there has been growing attention on behalf of both academic and practice communities towards the ability of Artificial Intelligence (AI) systems to operate responsibly and ethically. As a result, a plethora of frameworks and guidelines have
Externí odkaz:
http://arxiv.org/abs/2407.12135
Autor:
Storey, Margaret-Anne, Hoda, Rashina, Milani, Alessandra Maciel Paz, Baldassarre, Maria Teresa
Mixed methods research is often used in software engineering, but researchers outside of the social or human sciences often lack experience when using these designs. This paper provides guidelines and advice on how to design mixed method research, an
Externí odkaz:
http://arxiv.org/abs/2404.06011
Autor:
Baldassarre, Maria T., Caivano, Danilo, Nieto, Berenice Fernandez, Gigante, Domenico, Ragone, Azzurra
Publikováno v:
Proceedings of the 2023 ACM Conference on Information Technology for Social Good (GoodIT '23)
In recent months, the social impact of Artificial Intelligence (AI) has gained considerable public interest, driven by the emergence of Generative AI models, ChatGPT in particular. The rapid development of these models has sparked heated discussions
Externí odkaz:
http://arxiv.org/abs/2403.04667
Purpose for Open-Ended Learning Robots: A Computational Taxonomy, Definition, and Operationalisation
Autor:
Baldassarre, Gianluca, Duro, Richard J., Cartoni, Emilio, Khamassi, Mehdi, Romero, Alejandro, Santucci, Vieri Giuliano
Autonomous open-ended learning (OEL) robots are able to cumulatively acquire new skills and knowledge through direct interaction with the environment, for example relying on the guidance of intrinsic motivations and self-generated goals. OEL robots h
Externí odkaz:
http://arxiv.org/abs/2403.02514
Publikováno v:
Conference on AI Engineering Software Engineering for AI (CAIN 2024), April 14--15, 2024, Lisbon, Portugal
In the ever-expanding landscape of Artificial Intelligence (AI), where innovation thrives and new products and services are continuously being delivered, ensuring that AI systems are designed and developed responsibly throughout their entire lifecycl
Externí odkaz:
http://arxiv.org/abs/2402.05340
[Background] Hackathons are increasingly gaining prominence in Software Engineering (SE) education, lauded for their ability to elevate students' skill sets. [Objective] This paper investigates whether hackathons can impact the motivation of SE stude
Externí odkaz:
http://arxiv.org/abs/2402.05339
Autor:
Cabral, Raphael, Kalinowski, Marcos, Baldassarre, Maria Teresa, Villamizar, Hugo, Escovedo, Tatiana, Lopes, Hélio
[Context] Applying design principles has long been acknowledged as beneficial for understanding and maintainability in traditional software projects. These benefits may similarly hold for Machine Learning (ML) projects, which involve iterative experi
Externí odkaz:
http://arxiv.org/abs/2402.05337