A multi-objective framework for effective performance fault injection in distributed systems. - Luca Traini (ASE, 2018)

Detecting Latency Degradation Patterns in Service-based Systems. - Vittorio Cortellessa; Luca Traini (ICPE, 2020)

DeLag: Detecting Latency Degradation Patterns in Service-based Systems. - Luca Traini; Vittorio Cortellessa (CoRR, 2021)

DIORAMA: Digital twIn fOR sustAinable territorial MAnagement. - Andrea Bianchi; Giordano d'Aloisio; Andrea D'Angelo; Antinisca Di Marco; Alessandro Di Matteo; Jessica Léone; Giulia Scoccia; Giovanni Stilo; Luca Traini (itaDATA, 2022)

Exploring Performance Assurance Practices and Challenges in Agile Software Development: An Ethnographic Study. - Luca Traini (Empir. Softw. Eng., 2022)

How Software Refactoring Impacts Execution Time. - Luca Traini; Daniele Di Pompeo; Michele Tucci 001; Bin Lin 008; Simone Scalabrino; Gabriele Bavota; Michele Lanza 001; Rocco Oliveto; Vittorio Cortellessa (ACM Trans. Softw. Eng. Methodol., 2022)

Enhancing Trace Visualizations for Microservices Performance Analysis. - Jessica Léone; Luca Traini (ICPE (Companion), 2023)

Towards effective assessment of steady state performance in Java software: are we there yet? - Luca Traini; Vittorio Cortellessa; Daniele Di Pompeo; Michele Tucci 001 (Empir. Softw. Eng., 2023)

DeLag: Using Multi-Objective Optimization to Enhance the Detection of Latency Degradation Patterns in Service-Based Systems. - Luca Traini; Vittorio Cortellessa (IEEE Trans. Software Eng., 2023)

An Empirical Study on Code Coverage of Performance Testing. - Muhammad Imran 026; Vittorio Cortellessa; Davide Di Ruscio; Riccardo Rubei; Luca Traini (EASE, 2024)

AI-driven Java Performance Testing: Balancing Result Quality with Testing Time. - Luca Traini; Federico Di Menna; Vittorio Cortellessa (ASE, 2024)

VAMP: Visual Analytics for Microservices Performance. - Luca Traini; Jessica Léone; Giovanni Stilo; Antinisca Di Marco (SAC, 2024)

RADig-X: a Tool for Regressions Analysis of User Digital Experience. - Federico Di Menna; Vittorio Cortellessa; Maurizio Lucianelli; Luca Sardo; Luca Traini (SANER, 2024)

Time Series Forecasting of Runtime Software Metrics: An Empirical Study. - Federico Di Menna; Luca Traini; Vittorio Cortellessa (ICPE, 2024)

Workshop on Challenges in Performance Methods for Software Development (WOSP-C). - Luca Traini; Heng Li 007 (ICPE (Companion), 2024)

AMBER: AI-Enabled Java Microbenchmark Harness. - Antonio Trovato; Luca Traini; Federico Di Menna; Dario Di Nucci (ICST, 2025)

Investigating Execution-Aware Language Models for Code Optimization. - Federico Di Menna; Luca Traini; Gabriele Bavota; Vittorio Cortellessa (ICPC, 2025)

On the Compression of Language Models for Code: An Empirical Study on CodeBERT. - Giordano d'Aloisio; Luca Traini; Federica Sarro; Antinisca Di Marco (SANER, 2025)

A Kernel-Based Approach for Accurate Steady-State Detection in Performance Time Series. - Martin Beseda; Vittorio Cortellessa; Daniele Di Pompeo; Luca Traini; Michele Tucci 001 (CoRR, 2025)