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Vittorio Cortellessa
SPENCER Lab Full Professor

Vittorio Cortellessa

Full Professor · DISIM · Università degli Studi dell'Aquila

vittorio.cortellessa@univaq.it ·Scholar ↗ ·DBLP ↗ ·ORCID ↗

Bio

Vittorio Cortellessa is Full Professor of Computer Science at the Department of Information Engineering, Computer Science and Mathematics (DISIM) of the University of L'Aquila, and a member of the SWEN research group. His research focuses on software performance, software reliability, and model-driven engineering. He received his PhD in Computer Science from the University of Roma Tor Vergata in 1995, held postdoctoral positions there and at the European Space Agency, and was Research Assistant Professor at West Virginia University before joining the University of L'Aquila. He has published more than 150 papers in international conferences and journals, co-authored a monograph on software performance, and is Co-Chair of the Steering Committee of the ACM/SPEC International Conference on Performance Engineering (ICPE).

Teaching

Recent publications

All publications (62) →
  • 2026

    An Empirical Investigation on the Use of Large Language Models for Performance Bug Detection

    SANER

    DOI ↗
  • 2026

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

    J. Syst. Softw.

    DOI ↗
  • 2026

    Model-Driven Quality Analysis of Cyber-Physical Systems: State of the Art and Perspectives

    MODELSWARD

    DOI ↗
  • 2025

    Introducing Interactions in Multi-Objective Optimization of Software Architectures

    ACM Trans. Softw. Eng. Methodol.

    DOI ↗
  • 2025

    Investigating Execution-Aware Language Models for Code Optimization

    ICPC

    DOI ↗
  • 2025

    Is code coverage of performance tests related to source code features? An empirical study on open-source Java systems

    Empir. Softw. Eng.

    DOI ↗
  • 2024

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

    ASE

    DOI ↗
  • 2024

    An Empirical Study on Code Coverage of Performance Testing

    EASE

  • 2024

    Architectural support for software performance in continuous software engineering: A systematic mapping study

    J. Syst. Softw.

    DOI ↗
  • 2024

    Exploring Sustainable Alternatives for the Deployment of Microservices Architectures in the Cloud

    ICSA

    DOI ↗