Federico Di Menna

According to our database, Federico Di Menna authored at least 10 papers between 2022 and 2026.

Collaborative distances:

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

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

Sci. Comput. Program., 2026

Forecasting software runtime metrics: A comparative study of classical statistical, neural network, and foundation models.

Federico Di Menna, Luca Traini, Vittorio Cortellessa

J. Syst. Softw., 2026

Leveraging Time Series Foundation Models to Detect Performance Anomalies in Software Systems.

Federico Di Menna, Luca Traini, Vittorio Cortellessa

Proceedings of the Companion of the 17th ACM/SPEC International Conference on Performance Engineering, 2026

Performance Regressions Prediction using Time Series Classification: A Case Study.

Federico Di Menna, Luca Traini

Proceedings of the Companion of the 17th ACM/SPEC International Conference on Performance Engineering, 2026

2025

Investigating Execution-Aware Language Models for Code Optimization.

Federico Di Menna, Luca Traini, Gabriele Bavota, Vittorio Cortellessa

Proceedings of the 33rd IEEE/ACM International Conference on Program Comprehension, 2025

AMBER: AI-Enabled Java Microbenchmark Harness.

Antonio Trovato, Luca Traini, Federico Di Menna, Dario Di Nucci

Proceedings of the IEEE Conference on Software Testing, Verification and Validation, 2025

2024

Time Series Forecasting of Runtime Software Metrics: An Empirical Study.

Federico Di Menna, Luca Traini, Vittorio Cortellessa

Proceedings of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

RADig-X: a Tool for Regressions Analysis of User Digital Experience.

Federico Di Menna, Vittorio Cortellessa, Maurizio Lucianelli, Luca Sardo, Luca Traini

Proceedings of the IEEE International Conference on Software Analysis, 2024

AI-driven Java Performance Testing: Balancing Result Quality with Testing Time.

Luca Traini, Federico Di Menna, Vittorio Cortellessa

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

2022

FEAST: a framework for evaluating implementation architectures of self-adaptive IoT systems.

Federico Di Menna, Henry Muccini, Karthik Vaidhyanathan

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022