Luca Traini

30 papers A* 2A 5B 2Misc 1Journal 15Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
A kernel-based approach for accurate steady-state detection in performance time series.
Future Gener. Comput. Syst.
Martin Beseda, Vittorio Cortellessa, Daniele Di Pompeo, Luca Traini, Michele Tucci
2026 — conf
Leveraging Time Series Foundation Models to Detect Performance Anomalies in Software Systems.
ICPE Companion
Federico Di Menna, Luca Traini, Vittorio Cortellessa
2026 — conf
Performance Regressions Prediction using Time Series Classification: A Case Study.
ICPE Companion
Federico Di Menna, Luca Traini
2025 J jnl
A Kernel-Based Approach for Accurate Steady-State Detection in Performance Time Series.
CoRR
Martin Beseda, Vittorio Cortellessa, Daniele Di Pompeo, Luca Traini, Michele Tucci
2025 A conf
AMBER: AI-Enabled Java Microbenchmark Harness.
ICST
Antonio Trovato, Luca Traini, Federico Di Menna, Dario Di Nucci
2025 A conf
Investigating Execution-Aware Language Models for Code Optimization.
ICPC
Federico Di Menna, Luca Traini, Gabriele Bavota, Vittorio Cortellessa
2025 J jnl
Investigating Execution-Aware Language Models for Code Optimization.
CoRR
Federico Di Menna, Luca Traini, Gabriele Bavota, Vittorio Cortellessa
2025 J jnl
Is code coverage of performance tests related to source code features? An empirical study on open-source Java systems.
Empir. Softw. Eng.
Muhammad Imran, Vittorio Cortellessa, Davide Di Ruscio, Riccardo Rubei, Luca Traini
2025 A conf
On the Compression of Language Models for Code: An Empirical Study on CodeBERT.
SANER
Giordano d'Aloisio, Luca Traini, Federica Sarro, Antinisca Di Marco
2024 A* conf
AI-driven Java Performance Testing: Balancing Result Quality with Testing Time.
ASE
Luca Traini, Federico Di Menna, Vittorio Cortellessa
2024 J jnl
AI-driven Java Performance Testing: Balancing Result Quality with Testing Time.
CoRR
Luca Traini, Federico Di Menna, Vittorio Cortellessa
2024 A conf
An Empirical Study on Code Coverage of Performance Testing.
EASE
Muhammad Imran, Vittorio Cortellessa, Davide Di Ruscio, Riccardo Rubei, Luca Traini
2024 J jnl
On the Compression of Language Models for Code: An Empirical Study on CodeBERT.
CoRR
Giordano d'Aloisio, Luca Traini, Federica Sarro, Antinisca Di Marco
2024 A conf
RADig-X: a Tool for Regressions Analysis of User Digital Experience.
SANER
Federico Di Menna, Vittorio Cortellessa, Maurizio Lucianelli, Luca Sardo, Luca Traini
2024 B conf
Time Series Forecasting of Runtime Software Metrics: An Empirical Study.
ICPE
Federico Di Menna, Luca Traini, Vittorio Cortellessa
2024 Misc conf
VAMP: Visual Analytics for Microservices Performance.
SAC
Luca Traini, Jessica Léone, Giovanni Stilo, Antinisca Di Marco
2024 J jnl
VAMP: Visual Analytics for Microservices Performance.
CoRR
Luca Traini, Jessica Léone, Giovanni Stilo, Antinisca Di Marco
2024 — conf
Workshop on Challenges in Performance Methods for Software Development (WOSP-C).
ICPE (Companion)
Luca Traini, Heng Li
2023 J jnl
DeLag: Using Multi-Objective Optimization to Enhance the Detection of Latency Degradation Patterns in Service-Based Systems.
IEEE Trans. Software Eng.
Luca Traini, Vittorio Cortellessa
2023 — conf
Enhancing Trace Visualizations for Microservices Performance Analysis.
ICPE (Companion)
Jessica Léone, Luca Traini
2023 J jnl
Enhancing Trace Visualizations for Microservices Performance Analysis.
CoRR
Jessica Léone, Luca Traini
2023 J jnl
Towards effective assessment of steady state performance in Java software: are we there yet?
Empir. Softw. Eng.
Luca Traini, Vittorio Cortellessa, Daniele Di Pompeo, Michele Tucci
2022 — conf
DIORAMA: Digital twIn fOR sustAinable territorial MAnagement.
itaDATA
Andrea Bianchi, Giordano d'Aloisio, Andrea D'Angelo, Antinisca Di Marco, Alessandro Di Matteo, Jessica Léone, Giulia Scoccia, Giovanni Stilo, Luca Traini
2022 J jnl
Exploring Performance Assurance Practices and Challenges in Agile Software Development: An Ethnographic Study.
Empir. Softw. Eng.
Luca Traini
2022 J jnl
How Software Refactoring Impacts Execution Time.
ACM Trans. Softw. Eng. Methodol.
Luca Traini, Daniele Di Pompeo, Michele Tucci, Bin Lin, Simone Scalabrino, Gabriele Bavota, Michele Lanza, Rocco Oliveto, Vittorio Cortellessa
2022 J jnl
Towards effective assessment of steady state performance in Java software: Are we there yet?
CoRR
Luca Traini, Vittorio Cortellessa, Daniele Di Pompeo, Michele Tucci
2021 J jnl
DeLag: Detecting Latency Degradation Patterns in Service-based Systems.
CoRR
Luca Traini, Vittorio Cortellessa
2020 B conf
Detecting Latency Degradation Patterns in Service-based Systems.
ICPE
Vittorio Cortellessa, Luca Traini
2020 J jnl
Detecting Latency Degradation Patterns in Service-based Systems.
CoRR
Vittorio Cortellessa, Luca Traini
2018 A* conf
A multi-objective framework for effective performance fault injection in distributed systems.
ASE
Luca Traini