Giovanni Rosa

According to our database, Giovanni Rosa authored at least 24 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Fixing Dockerfile smells: an empirical study.

Giovanni Rosa, Federico Zappone, Simone Scalabrino, Rocco Oliveto

Empir. Softw. Eng., September, 2024

Help Them Understand: Testing and Improving Voice User Interfaces.

Emanuela Guglielmi, Giovanni Rosa, Simone Scalabrino, Gabriele Bavota, Rocco Oliveto

ACM Trans. Softw. Eng. Methodol., July, 2024

Not all Dockerfile Smells are the Same: An Empirical Evaluation of Hadolint Writing Practices by Experts.

Giovanni Rosa, Simone Scalabrino, Gregorio Robles, Rocco Oliveto

Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

2023

What Quality Aspects Influence the Adoption of Docker Images?

Giovanni Rosa, Simone Scalabrino, Gabriele Bavota, Rocco Oliveto

ACM Trans. Softw. Eng. Methodol., November, 2023

A comprehensive evaluation of SZZ Variants through a developer-informed oracle.

Giovanni Rosa, Luca Pascarella, Simone Scalabrino, Rosalia Tufano, Gabriele Bavota, Michele Lanza, Rocco Oliveto

J. Syst. Softw., August, 2023

Detecting functional and security-related issues in smart contracts: A systematic literature review.

Valentina Piantadosi, Giovanni Rosa, Davide Placella, Simone Scalabrino, Rocco Oliveto

Softw. Pract. Exp., 2023

Automatically Generating Dockerfiles via Deep Learning: Challenges and Promises.

Giovanni Rosa, Antonio Mastropaolo, Simone Scalabrino, Gabriele Bavota, Rocco Oliveto

Proceedings of the IEEE/ACM International Conference on Software and System Processes, 2023

2022

Fixing Dockerfile Smells: An Empirical Study.

Giovanni Rosa, Simone Scalabrino, Rocco Oliveto

CoRR, 2022

Sorry, I don't Understand: Improving Voice User Interface Testing.

Emanuela Guglielmi, Giovanni Rosa, Simone Scalabrino, Gabriele Bavota, Rocco Oliveto

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Assessing and Improving the Quality of Docker Artifacts.

Giovanni Rosa, Simone Scalabrino, Rocco Oliveto

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

ST-Segment Anomalies Detection from Compressed Sensing Based ECG Data by Means of Machine Learning.

Giovanni Rosa, Marco Russodivito, Gennaro Laudato, Angela Rita Colavita, Luca De Vito, Francesco Picariello, Simone Scalabrino, Ioan Tudosa, Rocco Oliveto

Proceedings of the Biomedical Engineering Systems and Technologies, 2022

A Robust Approach for a Real-time Accurate Screening of ST Segment Anomalies.

Giovanni Rosa, Marco Russodivito, Gennaro Laudato, Angela Rita Colavita, Simone Scalabrino, Rocco Oliveto

Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

Simulating the Doctor's Behaviour: A Preliminary Study on the Identification of Atrial Fibrillation through Combined Analysis of Heart Rate and Beat Morphology.

Gennaro Laudato, Giovanni Rosa, Giovanni Capobianco, Angela Rita Colavita, Arianna Dal Forno, Fabio Divino, Claudio Lupi, Remo Pareschi, Stefano Ricciardi, Luca Romagnoli, Simone Scalabrino, Cecilia Tomassini, Rocco Oliveto

Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

2021

Corrigendum: Tether: A Study on Bubble-Networks.

Giovanni Rosa, Remo Pareschi

Frontiers Blockchain, 2021

Tether: A Study on Bubble-Networks.

Giovanni Rosa, Remo Pareschi

Frontiers Blockchain, 2021

A Multi-Class Approach for the Automatic Detection of Congestive Heart Failure in Windowed ECG.

Giovanni Rosa, Marco Russodivito, Gennaro Laudato, Simone Scalabrino, Angela Rita Colavita, Rocco Oliveto

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Evaluating SZZ Implementations Through a Developer-informed Oracle.

Giovanni Rosa, Luca Pascarella, Simone Scalabrino, Rosalia Tufano, Gabriele Bavota, Michele Lanza, Rocco Oliveto

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

Multi-class Detection of Arrhythmia Conditions Through the Combination of Compressed Sensing and Machine Learning.

Giovanni Rosa, Marco Russodivito, Gennaro Laudato, Angela Rita Colavita, Luca De Vito, Francesco Picariello, Simone Scalabrino, Ioan Tudosa, Rocco Oliveto

Proceedings of the Biomedical Engineering Systems and Technologies, 2021

Automatic Real-time Beat-to-beat Detection of Arrhythmia Conditions.

Giovanni Rosa, Gennaro Laudato, Angela Rita Colavita, Simone Scalabrino, Rocco Oliveto

Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

2020

Does code review really remove coding convention violations?

DongGyun Han, Chaiyong Ragkhitwetsagul, Jens Krinke, Matheus Paixão, Giovanni Rosa

Proceedings of the 20th IEEE International Working Conference on Source Code Analysis and Manipulation, 2020

MIPHAS: Military Performances and Health Analysis System.

Gennaro Laudato, Giovanni Rosa, Simone Scalabrino, Jonathan Simeone, Francesco Picariello, Ioan Tudosa, Luca De Vito, Franco Boldi, Paolo Torchitti, Riccardo Ceccarelli, Fabrizio Picariello, Luca Torricelli, Aldo Lazich, Rocco Oliveto

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

Combining Rhythmic and Morphological ECG Features for Automatic Detection of Atrial Fibrillation.

Gennaro Laudato, Franco Boldi, Angela Rita Colavita, Giovanni Rosa, Simone Scalabrino, Paolo Torchitti, Aldo Lazich, Rocco Oliveto

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

Combining Rhythmic and Morphological ECG Features for Automatic Detection of Atrial Fibrillation: Local and Global Prediction Models.

Gennaro Laudato, Franco Boldi, Angela Rita Colavita, Giovanni Rosa, Simone Scalabrino, Aldo Lazich, Rocco Oliveto

Proceedings of the Biomedical Engineering Systems and Technologies, 2020

2019

User Authentication through Keystroke Dynamics by means of Model Checking: A Proposal.

Fabio Di Tommaso, Michele Guerra, Fabio Martinelli, Francesco Mercaldo, Massimo Piedimonte, Giovanni Rosa, Antonella Santone

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019