34 citations · 41 across the 7 of their papers we have counts for
5 papers · 1 filter
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…
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…