Selected Publications

IEEE Transactions on Software Engineering (Accepted) 2026
Meta-Learning for Time Series-based Tasks in Software Engineering
Federico Di Menna, Luca Traini, Vittorio Cortellessa
Journal of Systems and Software 2026
Forecasting software runtime metrics: A comparative study of classical statistical, neural network, and foundation models
Federico Di Menna, Luca Traini, Vittorio Cortellessa
Science of Computer Programming 2026
AMBER: An AI-enabled Java Microbenchmark Harness Extension to Dynamically Terminate Warm-up Iterations
Antonio Trovato, Luca Traini, Federico Di Menna, Dario Di Nucci
ICPC 2025 (RENE) 2025
Investigating Execution-Aware Language Models for Code Optimization
Federico Di Menna, Luca Traini, Gabriele Bavota, Vittorio Cortellessa
ASE 2024 2024
AI-driven Java Performance Testing: Balancing Result Quality with Testing Time
Luca Traini, Federico Di Menna, Vittorio Cortellessa
ICPE 2024 2024
Time Series Forecasting of Runtime Software Metrics: An Empirical Study
Federico Di Menna, Luca Traini, Vittorio Cortellessa
SANER 2024 (Industry) 🏆 Best Industrial Paper Award 2024
RADig-X: a Tool for Regressions Analysis of User Digital Experience
Federico Di Menna, Vittorio Cortellessa, Maurizio Lucianelli, Luca Sardo, Luca Traini
SAC 2022 2022
FEAST: a framework for evaluating implementation architectures of self-adaptive IoT systems
Federico Di Menna, Henry Muccini, Karthik Vaidhyanathan

Minor Publications

ICPE 2026 (Data Challenge Track) 2026
Performance Regressions Prediction using Time Series Classification: A Case Study
Federico Di Menna and Luca Traini
AIPerfLLM@ICPE 2026 2026
Leveraging Time Series Foundation Models to Detect Performance Anomalies in Software Systems
Federico Di Menna, Luca Traini, Vittorio Cortellessa
ICST 2025 (Tool Demo) 2025
AMBER: AI-Enabled Java Microbenchmark Harness
Antonio Trovato, Luca Traini, Federico Di Menna, Dario Di Nucci
email: federicodimenna at graduate dot univaq dot it