• Vittorio Cortellessa, Antinisca Di Marco, Catia Trubiani,
  An approach for modeling and detecting software performance antipatterns based on first-order logics.

10-years Most Influential Regular Paper Award (Journal of Software and System Modeling), presented at ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems (MODELS 2024)

• Vittorio Cortellessa, Vincenzo Grassi,
  A Modeling Approach to Analyze the Impact of Error Propagation on Reliability of Component-Based Systems.

10-years Most Influential Paper Award at IEEE International Conference on Software Architecture (ICSA 2017)

• Federico Di Menna, Vittorio Cortellessa, Maurizio Lucianelli,
  Luca Sardo, Luca Traini,
  RADig-X: a Tool for Regressions Analysis of User Digital Experience.
  IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) 2024 - Industrial Track -

• Vittorio Cortellessa, Daniele Di Pompeo, Michele Tucci,
  Performance of Genetic Algorithms in the Context of Software Model Refactoring.
  European Performance Engineering Workshop (EPEW) 2023

• Luca Berardinelli, Vittorio Cortellessa, Antinisca Di Marco,
  Performance Modeling and Analysis of Context-Aware Mobile Software Systems.
  Fundamental Approaches to Software Engineering (FASE) 2010

• Francesco Quaglia, Vittorio Cortellessa
  Grain sensitive event scheduling in time warp parallel discrete event simulation.
  ACM Parallel And Distributed Simulation (PADS) 2000

• Vittorio Cortellessa, Francesco Quaglia
  An Analysis of the Efficiency of Optimistically Synchronized Parallel Simulators.
  Conference on Simulation Modeling and Applications (CSMA) 1998

• 25+ years of Software Performance: From Integrated System Modelling to ML-based Analysis, What’s Next? 

• Performance-driven software model refactoring.

• Performance Antipatterns: state-of-art and future perspectives.

• Tradeoff analysis of software quality attributes through optimization models. 

• Optimization models for non-functional requirements validation.