4 citations · 6 across the 5 of their papers we have counts for
7 papers · 1 filter
FairRF: Multi-Objective Search for Single and Intersectional Software Fairness
Giordano d'Alosio, Max Hort, Rebecca Moussa +1
Background: The wide adoption of AI- and ML-based systems in sensitive domains raises severe concerns about their fairness. Many methods have been proposed in the literature to enh…
SustainDiffusion: Optimising the Social and Environmental Sustainability of Stable Diffusion Models
Giordano d'Aloisio, Tosin Fadahunsi, Jay Choy +2
Background: Text-to-image generation models are widely used across numerous domains. Among these models, Stable Diffusion (SD) - an open-source text-to-image generation model - has…
Agile Effort Estimation: Have We Solved the Problem Yet? Insights From A Second Replication Study (GPT2SP Replication Report)
Vali Tawosi, Rebecca Moussa, Federica Sarro
Fu and Tantithamthavorn have recently proposed GPT2SP, a Transformer-based deep learning model for SP estimation of user stories. They empirically evaluated the performance of GPT2…
Do Not Take It for Granted: Comparing Open-Source Libraries for Software Development Effort Estimation
Rebecca Moussa, Federica Sarro
In the past two decades, several Machine Learning (ML) libraries have become freely available. Many studies have used such libraries to carry out empirical investigations on predic…
A Versatile Dataset of Agile Open Source Software Projects
Vali Tawosi, Afnan Al-Subaihin, Rebecca Moussa +1
Agile software development is nowadays a widely adopted practise in both open-source and industrial software projects. Agile teams typically heavily rely on issue management tools…
On The Effectiveness of One-Class Support Vector Machine in Different Defect Prediction Scenarios
Rebecca Moussa, Danielle Azar, Federica Sarro
Defect prediction aims at identifying software components that are likely to cause faults before a software is made available to the end-user. To date, this task has been modeled a…