activity
20222026
most citedAgile Effort Estimation: Have We Solved the Problem Yet? Insights From A Replication Study

34 citations · 41 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SE2026

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…

cs.SE2025

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…

cs.SE2022★ 1 cited

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…

cs.SE2022★ 1 cited

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…

cs.SE2022★ 4 cited

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…

cs.SE2022★ 1 cited

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…

cs.SE2022★ 34 cited

Agile Effort Estimation: Have We Solved the Problem Yet? Insights From A Replication Study

Vali Tawosi, Rebecca Moussa, Federica Sarro

In the last decade, several studies have explored automated techniques to estimate the effort of agile software development. We perform a close replication and extension of a semin…