3 citations · 8 across the 6 of their papers we have counts for
7 papers
AI-Empowered Data Offloading in MEC-Enabled IoV Networks
Afonso Fontes, Igor de L. Ribeiro, Khan Muhammad +3
Advancements in smart vehicle design have enabled the creation of Internet of Vehicle (IoV) technologies that can utilize the information provided by various sensors and wireless c…
Non-Functional Requirements for Machine Learning: An Exploration of System Scope and Interest
Khan Mohammad Habibullah, Gregory Gay, Jennifer Horkoff
Systems that rely on Machine Learning (ML systems) have differing demands on system quality compared to traditional systems. Such quality demands, known as non-functional requireme…
Automated Support for Unit Test Generation: A Tutorial Book Chapter
Afonso Fontes, Gregory Gay, Francisco Gomes de Oliveira Neto +1
Unit testing is a stage of testing where the smallest segment of code that can be tested in isolation from the rest of the system - often a class - is tested. Unit tests are typica…
Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVL
Hamid Ebadi, Mahshid Helali Moghadam, Markus Borg +3
With the growing capabilities of autonomous vehicles, there is a higher demand for sophisticated and pragmatic quality assurance approaches for machine learning-enabled systems in…
Using Machine Learning to Generate Test Oracles: A Systematic Literature Review
Afonso Fontes, Gregory Gay
Machine learning may enable the automated generation of test oracles. We have characterized emerging research in this area through a systematic literature review examining oracle t…
Learning How to Search: Generating Effective Test Cases Through Adaptive Fitness Function Selection
Hussein Almulla, Gregory Gay
Search-based test generation is guided by feedback from one or more fitness functions - scoring functions that judge solution optimality. Choosing informative fitness functions is…