Daniele Di Pompeo

Daniele Di Pompeo

Assistant professor (from March, 1st 2023)

University of L'Aquila

Biography

Daniele Di Pompeo is an Assistant Professor (RTD-a) at the University of L’Aquila, Italy. He received his Ph.D. in ICT from the University of L’Aquila in 2019. His research interests include model-based performance analysis, software refactoring, and search-based software engineering. He has been elected as an “Expert of the subject” of Software Quality Engineering since 2019. He is a member of the SPENCER research group. His research activity is currently supported by the European project SoBigData.it.

Interests
  • Performance analysis
  • Model-Driven Engineering
  • Search-Based Software Engineering
Education
  • PhD in Information and Communication Technology, 2019

    University of L'Aquila

  • MEng in Computer and System Engineering, 2015

    University of L'Aquila

  • BSc in Computer and System Engineering, 2012

    University of L'Aquila

Experience

 
 
 
 
 
Assistant professor (RTD-a)
University of L’Aquila
Mar 2023 – Present Italy
 
 
 
 
 
Post-Doc
Center of Excellence EMERGE
Nov 2020 – Feb 2023 Italy
 
 
 
 
 
Expert of the Subject in Software Quality Engineering
University of L’Aquila
Oct 2020 – Present Italy

Responsibilities include:

  • Supporting students during the SQE course
  • Member of the Exam Committee
 
 
 
 
 
Post-Doc
Center of Excellence DEWS
Nov 2018 – Oct 2020 Italy

Organizing Committee

Poster and Demos Chair
Chair
Chair
Publication Chair
Web Chair

Program Committee

Artifact Evaluation Committee
Artifact Evaluation Committee

Talks / Presentations

Search Budget in Multi-Objective Refactoring Optimization: a Model-Based Empirical Study
Multi-Objective Optimization of Non-Functional Attributes based on Refactoring of Software Models
On the impact of Performance Antipatterns in multi-objective software model refactoring optimization
Performance-driven software model refactoring.
A metamodel for the specification and verification of model refactoring actions
Energy-driven reconfiguration of applications for Wireless Sensor Networks
An Efficient Performance-Driven Approach for HW/SW Co-Design
Automated translation among EPSILON languages for performance-driven UML software model refactoring

Thesis Supervisor

Thesis co-supervisor - Michele Intrevado
Thesis co-supervisor - Enrico Simone Adamelli
Thesis co-supervisor - Vincenzo De Petris
Thesis co-supervisor - Natan Cieplinski
Thesis co-supervisor - Marisa Fallone
Thesis co-supervisor - Stefano Di Francesco

Contact