9 citations · 11 across the 5 of their papers we have counts for
5 papers
The Competence Crisis: A Design Fiction on AI-Assisted Research in Software Engineering
Mairieli Wessel, Daniel Feitosa, Sangeeth Kochanthara
Rising publication pressure and the routine use of generative AI tools are reshaping how software engineering research is produced, assessed, and taught. While these developments p…
Group versus Individual Review Requests: Tradeoffs in Speed and Quality at Mozilla Firefox
Matej Kucera, Marco Castelluccio, Daniel Feitosa +1
The speed at which code changes are integrated into the software codebase, also referred to as code review velocity, is a prevalent industry metric for improved throughput and deve…
Greening AI-enabled Systems with Software Engineering: A Research Agenda for Environmentally Sustainable AI Practices
Luís Cruz, João Paulo Fernandes, Maja H. Kirkeby +22
The environmental impact of Artificial Intelligence (AI)-enabled systems is increasing rapidly, and software engineering plays a critical role in developing sustainable solutions.…
Batching for Green AI -- An Exploratory Study on Inference
Tim Yarally, Luís Cruz, Daniel Feitosa +2
The batch size is an essential parameter to tune during the development of new neural networks. Amongst other quality indicators, it has a large degree of influence on the model's…
Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AI
Tim Yarally, Luís Cruz, Daniel Feitosa +2
Modern AI practices all strive towards the same goal: better results. In the context of deep learning, the term "results" often refers to the achieved accuracy on a competitive pro…