Journals
[JSS 2026]Federico Di Menna, Luca Traini, Vittorio CortellessaForecasting software runtime metrics: A comparative study of classical statistical, neural network, and foundation models [doi]Journal of Systems and Software (JSS) 2026
[FGCS 2026]Martin Beseda, Vittorio Cortellessa, Daniele Di Pompeo, Luca Traini, Michele TucciA kernel-based approach for accurate steady-state detection in performance time series [doi]Future Generation Computer Systems (FGCS) 2026
[SCICO 2026]Antonio Trovato, Luca Traini, Federico Di Menna, Dario Di NucciAMBER: An AI-enabled Java Microbenchmark Harness Extension to Dynamically Terminate Warm-up Iterations [doi]Science of Computer Programming (SCICO) 2026
[EMSE 2025]Muhammad Imran, Vittorio Cortellessa, Davide Di Ruscio, Riccardo Rubei, Luca TrainiIs code coverage of performance tests related to source code features? An empirical study on open-source Java systems [doi]Empirical Software Engineering (EMSE) 2025
[TSE 2023]Luca Traini, Vittorio CortellessaDeLag: Using Multi-Objective Optimization to Enhance the Detection of Latency Degradation Patterns in Service-based Systems [doi]IEEE Transactions on Software Engineering (TSE) 2023
[EMSE 2023]Luca Traini, Vittorio Cortellessa, Daniele Di Pompeo, Michele TucciTowards effective assessment of steady state performance in Java software: Are we there yet? [doi]Empirical Software Engineering (EMSE) 2023
[EMSE 2022]Luca TrainiExploring performance assurance practices and challenges in agile software development: An ethnographic study [doi] [pdf]Empirical Software Engineering (EMSE) 2022
[TOSEM 2022]Luca Traini, Daniele Di Pompeo, Michele Tucci, Bin Lin, Simone Scalabrino, Gabriele Bavota, Michele Lanza, Rocco Oliveto, Vittorio CortellessaHow Software Refactoring Impacts Execution Time [doi][pdf]ACM Transactions on Software Engineering and Methodology (TOSEM) 2022
Conferences
[SANER 2026]Muhammad Imran, Vittorio Cortellessa, Davide Di Ruscio, Riccardo Rubei, Luca TrainiAn Empirical Investigation on the use of Large Language Models for Performance Bug Detection [doi] [pdf] IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) 2026, RENE track
[SANER 2025]Giordano d'Aloisio, Luca Traini, Federica Sarro, Antinisca Di MarcoOn the Compression of Language Models for Code: An Empirical Study on CodeBERT [doi] [arxiv] IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) 2025
[ICPC 2025] Federico Di Menna, Luca Traini, Gabriele Bavota, Vittorio CortellessaInvestigating Execution-Aware Language Models for Code Optimization [doi] [arxiv] [pdf] IEEE/ACM International Conference on Program Comprehension (ICPC) 2025, RENE track
[ASE 2024]Luca Traini, Federico Di Menna, Vittorio CortellessaAI-driven Java Performance Testing: Balancing Result Quality with Testing Time [doi] [arxiv] IEEE/ACM International Conference on Automated Software Engineering (ASE) 2024
[EASE 2024]Muhammad Imran, Vittorio Cortellessa, Davide Di Ruscio, Riccardo Rubei, Luca TrainiAn Empirical Study on Code Coverage of Performance Testing [doi] International Conference on Evaluation and Assessment in Software Engineering (EASE) 2024
[ICPE 2024]Federico Di Menna, Luca Traini, Vittorio CortellessaTime Series Forecasting of Runtime Software Metrics: An Empirical Study [doi] ACM/SPEC International Conference on Performance Engineering (ICPE) 2024
[SANER 2024]Federico Di Menna, Vittorio Cortellessa, Maurizio Lucianelli, Luca Sardo, Luca TrainiRADig-X: a Tool for Regressions Analysis of User Digital Experience [doi] [pdf] IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) 2024, Industry track
[SAC 2024]Luca Traini, Jessica Leone, Giovanni Stilo, Antinisca Di MarcoVAMP: Visual Analytics for Microservices Performance [doi] ACM/SIGAPP Symposium on Applied Computing (SAC) 2024
[ICPE 2020]Vittorio Cortellessa, Luca TrainiDetecting latency degradation patterns in service-based systems [doi][arxiv]ACM/SPEC International Conference on Performance Engineering (ICPE) 2020
Minor Publications
[AIPerfLLM 2026]Federico Di Menna, Luca Traini, Vittorio CortellessaLeveraging Time Series Foundation Models to Detect Performance Anomalies in Software Systems [doi] ICPE Workshop on Performance Optimization in the LLM World (AIPerfLLM) 2026
[ICPE 2026]Federico Di Menna, Luca TrainiPerformance Regressions Prediction using Time Series Classification: A Case Study [doi] ACM/SPEC International Conference on Performance Engineering (ICPE) 2026, Data Challenge track
[ICST 2025]Antonio Trovato, Luca Traini, Federico Di Menna, Dario Di Nucci AMBER: AI-enabled Java Microbenchmark Harness [doi] [pdf] IEEE International Conference on Software Testing, Verification and Validation (ICST) 2025, Testing Tools and Data Showcase
[HotCloudPerf 2023]Jessica Leone, Luca Traini Enhancing Trace Visualizations for Microservices Performance Analysis [doi]ICPE Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf) 2023
[ASE 2018]Luca Traini A multi-objective framework for effective performance fault injection in distributed systems [doi]ACM/IEEE International Conference on Automated Software Engineering (ASE) 2018, Doctoral Symposium
[SST 2017]Henry Muccini, Fabrizio Rossi, Luca TrainiA smart city run-time planner for multi-site congestion management [doi]International Conference on Smart Systems and Technologies (SST) 2017