7 citations · 10 across the 10 of their papers we have counts for
12 papers
Can LLMs Generate User Stories and Assess Their Quality?
Giovanni Quattrocchi, Liliana Pasquale, Paola Spoletini +1
Requirements elicitation is still one of the most challenging activities of the requirements engineering process due to the difficulty requirements analysts face in understanding a…
DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation
Luciano Baresi, Davide Yi Xian Hu, Muhammad Irfan Mas'udi +1
Ensuring the robustness of deep learning models requires comprehensive and diverse testing. Existing approaches, often based on simple data augmentation techniques or generative ad…
Dependency-aware Resource Allocation for Serverless Functions at the Edge
Luciano Baresi, Giovanni Quattrocchi, Inacio Ticongolo
Serverless computing allows developers to break their code into small components, known as functions, which are automatically managed by a service provider. Being lightweight and m…
A Multi-faceted Analysis of the Performance Variability of Virtual Machines
Luciano Baresi, Tommaso Dolci, Giovanni Quattrocchi +1
Cloud computing and virtualization solutions allow one to rent the virtual machines (VMs) needed to run applications on a pay-per-use basis, but rented VMs do not offer any guarant…
A Qualitative and Quantitative Analysis of Container Engines
Luciano Baresi, Giovanni Quattrocchi, Nicholas Rasi
Containerization is a virtualization technique that allows one to create and run executables consistently on any infrastructure. Compared to virtual machines, containers are lighte…
Microservice Architecture Practices and Experience: a Focused Look on Docker Configuration Files
Luciano Baresi, Giovanni Quattrocchi, Damian Andrew Tamburri
Cloud applications are more and more microservice-oriented, but a concrete charting of the microservices architecture landscape -- namely, the space of technical options available…
Training and Serving Machine Learning Models at Scale
Luciano Baresi, Giovanni Quattrocchi
In recent years, Web services are becoming more and more intelligent (e.g., in understanding user preferences) thanks to the integration of components that rely on Machine Learning…
Blockchain-Oriented Services Computing in Action: Insights from a User Study
Giovanni Quattrocchi, Damian Andrew Tamburri, WIllem-Jan Van Den Heuvel
Blockchain architectures promise disruptive innovation but factually they pose many architectural restrictions to classical service-based applications and show considerable design,…
A Declarative Modelling Framework for the Deployment and Management of Blockchain Applications
Luciano Baresi, Giovanni Quattrocchi, Damian Andrew Tamburri +1
The deployment and management of Blockchain applications require non-trivial efforts given the unique characteristics of their infrastructure (i.e., immutability) and the complexit…
DeepThought: a Reputation and Voting-based Blockchain Oracle
Marco Di Gennaro, Lorenzo Italiano, Giovanni Meroni +1
Thanks to built-in immutability and persistence, the blockchain is often seen as a promising technology to certify information. However, when the information does not originate fro…
NEPTUNE: Network- and GPU-aware Management of Serverless Functions at the Edge
Luciano Baresi, Davide Yi Xian Hu, Giovanni Quattrocchi +1
Nowadays a wide range of applications is constrained by low-latency requirements that cloud infrastructures cannot meet. Multi-access Edge Computing (MEC) has been proposed as the…
Quality Assurance of Heterogeneous Applications: The SODALITE Approach
Indika Kumara, Giovanni Quattrocchi, Damian Tamburri +1
A key focus of the SODALITE project is to assure the quality and performance of the deployments of applications over heterogeneous Cloud and HPC environments. It offers a set of to…