110 citations · 253 across the 41 of their papers we have counts for
12 papers · 1 filter
From Literature to Practice: Exploring Fairness Testing Tools for the Software Industry Adoption
Thanh Nguyen, Luiz Fernando de Lima, Maria Teresa Badassarre +1
In today's world, we need to ensure that AI systems are fair and unbiased. Our study looked at tools designed to test the fairness of software to see if they are practical and easy…
Preliminary Insights on Industry Practices for Addressing Fairness Debt
Ronnie de Souza Santos, Luiz Fernando de Lima, Maria Teresa Baldassarre +1
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 appli…
Validation of an Analysability Model in Hybrid Quantum Software
Díaz-Muñoz Ana, Cruz-Lemus José A., Rodríguez Moisés +2
In the context of quantum-classical hybrid computing, evaluating analysability, which is the ease of understanding and modifying software, presents significant challenges due to th…
Trustworthy AI in practice: an analysis of practitioners' needs and challenges
Maria Teresa Baldassarre, Domenico Gigante, Marcos Kalinowski +2
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 an…
Naming the Pain in Machine Learning-Enabled Systems Engineering
Marcos Kalinowski, Daniel Mendez, Görkem Giray +12
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…
Reinforcement learning
Sarod Yatawatta
Observing celestial objects and advancing our scientific knowledge about them involves tedious planning, scheduling, data collection and data post-processing. Many of these operati…
Guiding Principles for Using Mixed Methods Research in Software Engineering
Margaret-Anne Storey, Rashina Hoda, Alessandra Maciel Paz Milani +1
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 pro…
The Social Impact of Generative AI: An Analysis on ChatGPT
Maria T. Baldassarre, Danilo Caivano, Berenice Fernandez Nieto +2
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.…
POLARIS: A framework to guide the development of Trustworthy AI systems
Maria Teresa Baldassarre, Domenico Gigante, Marcos Kalinowski +1
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 a…
Can participation in a hackathon impact the motivation of software engineering students? A preliminary case study analysis
Allysson Allex Araújo, Marcos Kalinowski, Maria Teresa Baldassarre
[Background] Hackathons are increasingly gaining prominence in Software Engineering (SE) education, lauded for their ability to elevate students' skill sets. [Objective] This paper…
Investigating the Impact of SOLID Design Principles on Machine Learning Code Understanding
Raphael Cabral, Marcos Kalinowski, Maria Teresa Baldassarre +3
[Context] Applying design principles has long been acknowledged as beneficial for understanding and maintainability in traditional software projects. These benefits may similarly h…
ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems
Eduardo Zimelewicz, Marcos Kalinowski, Daniel Mendez +13
[Context] Systems incorporating Machine Learning (ML) models, often called ML-enabled systems, have become commonplace. However, empirical evidence on how ML-enabled systems are en…