Leonardo Scommegna

According to our database, Leonardo Scommegna authored at least 17 papers between 2018 and 2024.

Collaborative distances:

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

2024

Efficient derivation of optimal signal schedules for multimodal intersections.

Nicola Bertocci, Laura Carnevali, Leonardo Scommegna, Enrico Vicario

Simul. Model. Pract. Theory, 2024

Unveiling Faulty User Sequences: A Model-Based Approach to Test Three-Tier Software Architectures.

Leonardo Scommegna, Roberto Verdecchia, Enrico Vicario

J. Syst. Softw., 2024

Network Digital Twins: A Systematic Review.

Roberto Verdecchia, Leonardo Scommegna, Benedetta Picano, Marco Becattini, Enrico Vicario

IEEE Access, 2024

Dynamic MEC resource management for URLLC in Industry X.0 scenarios: a quantitative approach based on digital twin networks.

Marco Becattini, Laura Carnevali, Giovanni Fontani, Leonardo Paroli, Leonardo Scommegna, Maryam Masoumi, Ignacio de Miguel, Fabrizio Brasca

Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 and IoT, 2024

Quantitative evaluation of software rejuvenation of a pool of service replicas.

Leonardo Scommegna, Marco Becattini, Giovanni Fontani, Leonardo Paroli, Enrico Vicario

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

An observation metamodel for dependability tools.

Laura Carnevali, Stefania Cerboni, Benedetta Picano, Leonardo Scommegna, Enrico Vicario

Proceedings of the 19th European Dependable Computing Conference, 2024

CLAIM: a Lightweight Approach to Identify Microservices in Dockerized Environments.

Kevin Maggi, Roberto Verdecchia, Leonardo Scommegna, Enrico Vicario

Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, 2024

Elastic Autoscaling for Distributed Workflows in MEC Networks.

Benedetta Picano, Riccardo Reali, Leonardo Scommegna, Enrico Vicario

Proceedings of the Advanced Information Networking and Applications, 2024

Edge to Cloud Network Function Offloading in the ADAPTO Framework.

Alessio Botta, Roberto Canonico, Annalisa Navarro, Giovanni Stanco, Giorgio Ventre, Antonio Buonocunto, Antonio Fresa, Vincenzo Gentile, Leonardo Scommegna, Enrico Vicario

Proceedings of the Advanced Information Networking and Applications, 2024

2023

Echo State Learning for User Trajectory Prediction to Minimize Online Game Breaks in 6G Terahertz Networks.

Benedetta Picano, Leonardo Scommegna, Enrico Vicario, Romano Fantacci

J. Sens. Actuator Networks, June, 2023

A Quantitative Approach to Coordinated Scaling of Resources in Complex Cloud Computing Workflows.

Laura Carnevali, Marco Paolieri, Benedetta Picano, Riccardo Reali, Leonardo Scommegna, Enrico Vicario

Proceedings of the Computer Performance Engineering and Stochastic Modelling, 2023

Designing a Future-Proof Reference Architecture for Network Digital Twins.

Roberto Verdecchia, Leonardo Scommegna, Enrico Vicario, Tommaso Pecorella

Proceedings of the Software Architecture. ECSA 2023 Tracks, Workshops, and Doctoral Symposium, 2023

Technical Debt in Microservices: A Mixed-Method Case Study.

Roberto Verdecchia, Kevin Maggi, Leonardo Scommegna, Enrico Vicario

Proceedings of the Software Architecture. ECSA 2023 Tracks, Workshops, and Doctoral Symposium, 2023

2022

A Markov Regenerative Model of Software Rejuvenation Beyond the Enabling Restriction.

Laura Carnevali, Marco Paolieri, Riccardo Reali, Leonardo Scommegna, Enrico Vicario

Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2022

Using the ORIS Tool and the SIRIO Library for Model-Driven Engineering of Quantitative Analytics.

Laura Carnevali, Marco Paolieri, Riccardo Reali, Leonardo Scommegna, Federico Tammaro, Enrico Vicario

Proceedings of the Computer Performance Engineering - 18th European Workshop, 2022

2021

Evaluation of software aging in component-based Web Applications subject to soft errors over time.

Jacopo Parri, Samuele Sampietro, Leonardo Scommegna, Enrico Vicario

Proceedings of the IEEE International Symposium on Software Reliability Engineering, 2021

2018

Historical Handwritten Document Segmentation by Using a Weighted Loss.

Samuele Capobianco, Leonardo Scommegna, Simone Marinai

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018