publications

publications by categories in reversed chronological order.

2024

  1. [J9]
    Fixing Dockerfile Smells: An Empirical Study
    Giovanni Rosa, Federico Zappone, Simone Scalabrino, and Rocco Oliveto
    Empirical Software Engineering (EMSE - To Appear) 2024
    [pdf] [slides]
  2. [J8]
    Help Them Understand: Testing and Improving Voice User Interfaces
    Emanuela Guglielmi, Giovanni Rosa, Simone Scalabrino, Gabriele Bavota, and Rocco Oliveto
    ACM Transactions on Software Engineering and Methodology 2024
    [doi] [pdf]
  3. [C14]
    Not all Dockerfile Smells are the Same: An Empirical Evaluation of Hadolint Writing Practices by Experts
    Giovanni Rosa, Simone Scalabrino, Gregorio Robles, and Rocco Oliveto
    MSR (To Appear) 2024
    [pdf] [slides] [web]

2023

  1. [J7]
    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, and Rocco Oliveto
    Biomedical Engineering Systems and Technologies 2023
    [doi] [pdf]
  2. [J6]
    A Comprehensive Evaluation of SZZ Variants Through a Developer-informed Oracle
    Giovanni Rosa, Luca Pascarella, Simone Scalabrino, Rosalia Tufano, Gabriele Bavota, Michele Lanza, and Rocco Oliveto
    JSS 2023
    [doi] [pdf] [code]
  3. [J5]
    What Quality Aspects Influence the Adoption of Docker Images?
    Giovanni Rosa, Simone Scalabrino, Gabriele Bavota, and Rocco Oliveto
    TOSEM 2023
    [doi] [pdf] [code] [slides]
  4. [C13]
    Automatically Generating Dockerfiles via Deep-Learning: Challenges and Promises
    Giovanni Rosa, Antonio Mastropaolo, Simone Scalabrino, Gabriele Bavota, and Rocco Oliveto
    IEEE ICSSP 2023
    [doi] [pdf] [code] [slides] [web]

2022

  1. [J4]
    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, and Rocco Oliveto
    Biomedical Engineering Systems and Technologies 2022
    [doi] [pdf]
  2. [J3]
    Detecting Functional and Security-Related Issues in Smart Contracts: A Systematic Literature Review
    Valentina Piantadosi, Giovanni Rosa, Davide Placella, Simone Scalabrino, and Rocco Oliveto
    Software: Practice and experience 2022
    [doi] [pdf]
  3. [C12]
    Fixing Dockerfile Smells: An Empirical Study (Registered Report)
    Giovanni Rosa, Simone Scalabrino, and Rocco Oliveto
    ICSME 2022
    [doi] [pdf] [slides]
  4. [C11]
    Assessing and Improving the Quality of Docker Artifacts
    Giovanni Rosa, Simone Scalabrino, and Rocco Oliveto
    ICSME 2022
    [doi] [pdf] [poster] [slides]
  5. [C10]
    Sorry, I don’t Understand: Improving Voice User Interface Testing
    Emanuela Guglielmi, Giovanni Rosa, Simone Scalabrino, Gabriele Bavota, and Rocco Oliveto
    ASE 2022
    [doi] [pdf] [code] [web]
  6. [C9]
    A Robust Approach for a Real-time Accurate Screening of ST Segment Anomalies
    Giovanni Rosa, Marco Russodivito, Gennaro Laudato, Angela Rita Colavita, Simone Scalabrino, and Rocco Oliveto
    HEALTHINF 2022
    [doi] [pdf] [code] [slides]
  7. [C8]
    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, and Rocco Oliveto
    HEALTHINF 2022
    [doi] [pdf]

2021

  1. [J2]
    Tether: A Study on Bubble-Networks
    Giovanni Rosa, and Remo Pareschi
    Frontiers Blockchain 2021
    [doi] [pdf] [slides]
  2. [C7]
    Automatic Real-time Beat-to-beat Detection of Arrhythmia Conditions
    Giovanni Rosa, Gennaro Laudato, Angela Rita Colavita, Simone Scalabrino, and Rocco Oliveto
    HEALTHINF 2021
    [doi] [pdf] [slides]
  3. [C6]
    Evaluating SZZ Implementations Through a Developer-informed Oracle
    Giovanni Rosa, Luca Pascarella, Simone Scalabrino, Rosalia Tufano, Gabriele Bavota, Michele Lanza, and Rocco Oliveto
    ICSE 2021
    [doi] [pdf] [talk] [code] [slides]
  4. [C5]
    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, and Rocco Oliveto
    MedInfo 2021
    [doi] [pdf]

2020

  1. [J1]
    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, and Rocco Oliveto
    Biomedical Engineering Systems and Technologies 2020
    [doi] [pdf]
  2. [C4]
    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, and Rocco Oliveto
    HEALTHINF 2020
    Best Student Paper Award
    [doi] [pdf]
  3. [C3]
    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, and Rocco Oliveto
    HEALTHINF 2020
    [doi] [pdf]
  4. [C2]
    Does code review really remove coding convention violations?
    DongGyun Han, Chaiyong Ragkhitwetsagul, Jens Krinke, Matheus Paixão, and Giovanni Rosa
    SCAM 2020
    [doi] [pdf]

2019

  1. [C1]
    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, and Antonella Santone
    IEEE BigData 2019
    [doi] [pdf]

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