Publications

Identifying and Replicating Code Patterns Driving Performance Regressions in Software Systems
Denivan Campos, Luana Martins, Emanuela Guglielmi, Michele Tucci, Daniele Di Pompeo, Simone Scalabrino, Vittorio Cortellessa, Dario Di Nucci, Rocco Oliveto
22nd International Conference on Mining Software Repositories (MSR) - Registered Reports, 2025
https://arxiv.org/abs/2504.05851

AMBER: AI-Enabled Java Microbenchmark Harness
Antonio Trovato, Luca Traini, Federico Di Menna, Dario Di Nucci
18th IEEE International Conference on Software Testing, Verification and Validation (ICST), 2025
https://dardin88.github.io/preprints/RECHARGE_2.pdf Download PDF

Reformulating Regression Test Suite Optimization using Quantum Annealing - an Empirical Study
Antonio Trovato, Manuel De Stefano, Fabiano Pecorelli, Dario Di Nucci, Andrea De Lucia
International Journal on Software Tools for Technology Transfer
https://doi.org/10.48550/arXiv.2411.15963

An Empirical Study on Code Coverage of Performance Testing
Muhammad Imran, Vittorio Cortellessa, Davide Di Ruscio, Riccardo Rubei, Luca Traini
28th International Conference on Evaluation and Assessment in Software Engineering (EASE), 2024
https://www.researchgate.net/profile/Muhammad-Imran-419/publication/381513292_An_Empirical_Study_on_Code_Coverage_of_Performance_Testing/links/667af17f8408575b838a9348/An-Empirical-Study-on-Code-Coverage-of-Performance-Testing.pdf Download PDF

Exploring sustainable alternatives for the deployment of microservices architectures in the cloud
Vittorio Cortellessa, Daniele Di Pompeo, Michele Tucci
21st IEEE International Conference on Software Architecture (ICSA), 2024
https://arxiv.org/pdf/2402.11238

Time Series Forecasting of Runtime Software Metrics: An Empirical Study
Federico Di Menna, Luca Traini, Vittorio Cortellessa
15th ACM/SPEC International Conference on Performance Engineering (ICPE), 2024
https://www.researchgate.net/profile/Luca-Traini/publication/380633379_Time_Series_Forecasting_of_Runtime_Software_Metrics_An_Empirical_Study/links/66509c34bc86444c72fda78c/Time-Series-Forecasting-of-Runtime-Software-Metrics-An-Empirical-Study.pdf Download PDF