Catia Trubiani

Short bio
I am Associate Professor in Computer Science at the Gran Sasso Science Institute (GSSI), L’Aquila (AQ), Italy. Before joining the GSSI, I have been with various international research institutes like the Imperial College of London (UK) and the Karlsruhe Institute of Technology (Germany). Among various national and international projects in which I was involved, I am scientific coordinator for the MUR-PRIN project DREAM (Young Line action) and the MUR-PRO3 project Software Quality. My main research interests include the quantitative modelling and analysis of interacting heterogeneous distributed systems. I am especially interested in model-based performance analysis, software performance antipatterns, uncertainty, model-based testing, software quality optimisation, and software architectures. I hold the National scientific qualification as Full Professor in Italian Universities in Computer Science (01/B1) and Computer Engineering (09/H1).


Highlights
2024: Ten Year Most Influential Regular Paper Award for International Journal on Software and Systems Modeling (SoSyM) [certificate]
2023: Research Technical Track Program co-Chair for the European Conference on Software Architecture (Research Track @ ECSA 2023)
2022: Editorial Board member for Journal of Systems and Software (JSS), Elsevier [JSS editorial board]
2021: Ten Year Most Influential Paper Award for International Conference on Performance Engineering (ICPE) [certificate]
2020: Research Technical Track Program co-Chair for the International Conference on Performance Engineering (Research Track @ ICPE 2020)
2019: Marie Sklodowska-Curie Individual Fellowship Action Seal of Excellence provided by the European Commission for the project proposal "PLUS: Performance Learning for Uncertainty of Software" [certificate]
2017: selected for participation as Young Global Changer to The Think 20 Summit G20 Germany 2017 (acceptance: 8%) [certificate]
2015: selected for participation to 3rd Heidelberg Laureate Forum HLF 2015 (acceptance: 10%) [certificate]


Awards
2024: Research Distinguished Reviewer for International Symposium on Software Reliability Engineering (ISSRE) [link, certificate]
2024: Distinguished Reviewer Award for International Conference on Software Maintenance and Evolution (ICSME) [certificate]
2024: Honorable Mention (Review Quality) for the European Conference on Software Architecture (ECSA) [certificate]
2024: Distinguished Reviewer for the International Conference on Software Testing (ICST) [certificate]
2024: Best Reviewer Award for the International Conference on Performance Engineering (ICPE) [certificate]
2023: Best Paper Award for Journal of Systems and Software (JSS) submissions in 2022 [paper]
2022: Best Reviewer Award for the European Conference on Software Architecture (ECSA) [certificate]
2022: Best Reviewer Award for the International Conference on Software Testing, Verification and Validation (ICST), [certificate]
2021: Best Reviewer Award for the International Conference on Software Architecture (ICSA) [certificate]
2018: Exceptional Reviewer Award for the International Conference on Software Architecture (ICSA) [certificate]
2016: Outstanding Contribution in Reviewing from the Editors of the Journal of Systems and Software, Elsevier [certificate]
2015: Best Paper Award at European Conference on Software Architecture (ECSA) [certificate]
2014: Best Poster Award at International Conference on Component-Based Software Engineering and Software Architecture (CompArch) [certificate]
2013: ACM SIGSOFT Sof. Eng. Notes reports our QoSA paper in the list of Top 10 Downloaded Articles [link]
2011: Best Paper Award at International Conference on Performance Engineering (ICPE) [certificate]


Program Committee (latest)
International Symposium on Software Reliability Engineering (ISSRE 2024, ISSRE 2023)
International Conference on the Foundations of Software Engineering (FSE) Posters Track (Posters@FSE 2024)
International Conference on Software Maintenance and Evolution (ICSME 2024, ICSME 2023)
International Conference on Software Engineering - Artifact Evaluation Track (ICSE-Artifacts 2023)
International Conference on Software Engineering - Software Engineering in Practice Track (ICSE-SEIP 2023)
Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2024, SEAMS 2023, SEAMS 2022)
International Conference on Performance Engineering (ICPE 2024, ICPE 2023, ICPE 2022)
International Conference on Software Architecture (ICSA 2024, ICSA 2023, ICSA 2022)
International Conference on Software Testing, Verification and Validation (ICST 2024, ICST 2022)
European Conference on Software Architecture (ECSA 2024, ECSA 2022)


Organizing Committee (latest)
Program co-Chair for the Short Papers, Vision and Emerging Results Track for the International Conference on Software Testing (NIER @ ICST 2025)
Program co-Chair for the Doctoral Symposium Track for the International Conference on the Quality of Information and Communications Technology (Doctoral Symposium @ QUATIC 2024)
Program co-Chair for the Doctoral Symposium Track for the International Conference on Software Testing (Doctoral Symposium @ ICST 2023)
Program co-Chair for the Artifact Evaluation Track for the International Conference on Software Architecture (Artifact Evaluation @ ICSA 2023)
Program co-Chair for the Tools and Demos Track for the European Conference on Software Architecture (Tools and Demos @ ECSA 2022)


Editorial service

Editorial Board member for Journal of Systems and Software (JSS), Elsevier [more details].

Editorial Board member for ACM Transactions on Autonomous and Adaptive Systems (TAAS), ACM Digital Library [more details].

Co-Editor for Empirical Software Engineering, Springer, special Issue on "Software Performance" together with: Tse-Hsun (Peter) Chen, Concordia University, Canada; Cor-Paul Bezemer, University of Alberta; Andre van Hoorn, University of Stuttgart, Germany; Weiyi Shang, Concordia University, Canada [more details].

Education
Ph.D. in Computer Science at the University of L’Aquila (AQ), Italy.
Title of the thesis: "Automated generation of architectural feedback from software performance analysis results", [PhD Thesis - download].

Master’s Degree in Computer Science at the University of L’Aquila (AQ), Italy, final rank: 110/110 cum laude.
Title of the thesis: "Design and composition of Performance models for Osi Security Architecture".

Bachelor’s Degree in Computer Science at the University of L’Aquila (AQ), Italy, final rank: 110/110 cum laude.
Title of the thesis: "Evaluation of services in Publisher/Subscriber architectures with Petri Nets".

Maturity at the Scientific Secondary School "Albert Einstein" of Teramo (TE), Italy, final rank: 100/100.

Latest Publications

Willem Meijer, Catia Trubiani, and Aldeida Aleti
"Experimental evaluation of architectural software performance design patterns in microservices"
Journal of Systems and Software (JSS), 2024, [open access]

Nicola Cotumaccio and Catia Trubiani
"Convex Petri Nets",
International Workshop on Petri Nets and Software Engineering (PNSE), 2024, [preprint]

Kenneth Johnson, Samaneh Madanian, Catia Trubiani
"Patterns of Applied Control for Public Health Measures on Transportation Services under Epidemic",
accepted for International Conference on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), 2024, [preprint]

Vincent Berry, Arnaud Castelltort, Benoit Lange, Joan Teriihoania, Chouki Tibermacine, Catia Trubiani
"Is it Worth Migrating from Monolith to Microservices? An Experience Report on Performance, Availability and Energy Usage",
accepted for International Conference on Web Services (ICWS), 2024, [preprint]

Giovanni Quattrocchi, Emilio Incerto, Riccardo Pinciroli, Catia Trubiani, Luciano Baresi
"Autoscaling Solutions for Cloud Applications under Dynamic Workloads",
IEEE Transactions on Services Computing (TSC), 2024, [preprint]

Riccardo Pinciroli, Connie U. Smith, Catia Trubiani
"Modeling More Software Performance Antipatterns in Cyber-Physical Systems",
International Journal on Software and Systems Modeling (SoSyM), Springer, to appear, [preprint]

Catia Trubiani, Riccardo Pinciroli, Andrea Biaggi, Francesca Arcelli Fontana
"Automated Detection of Software Performance Antipatterns in Java-based Applications",
IEEE Transactions on Software Engineering (TSE), [preprint]

Riccardo Pinciroli, Catia Trubiani
"Performance Analysis of Fault-Tolerant Multi-Agent Coordination Mechanisms",
IEEE Transactions on Industrial Informatics (TII), [preprint]

Riccardo Pinciroli, Raffaela Mirandola, Catia Trubiani
"Modular Quality-of-Service Analysis of Software Design Models for Cyber-Physical Systems",
International Conference on Advanced Information Systems Engineering (CAiSE), 2023, [preprint]

Riccardo Pinciroli, Aldeida Aleti, Catia Trubiani
"Performance Modeling and Analysis of Design Patterns for Microservice Systems",
International Conference on Software Architecture (ICSA), 2023, [preprint]

Francesca Arcelli Fontana, Matteo Camilli, Davide Rendina, Andrei Gabriel Taraboi, Catia Trubiani
"Impact of Architectural Smells on Software Performance: an Exploratory Study",
International Conference on Evaluation and Assessment in Software Engineering (EASE), 2023, [preprint]



Publications from the DBLP

Project title: modular software Design to Reduce uncertainty in Ethics-based cyber-physicAl systeMs – DREAM, 2023-2025.
Project type: MUR PRIN (Programmi di Ricerca Scientifica di Rilevante Interesse Nazionale) projects, Young line/Linea Giovani
Other research units: University of Trieste (Laura Nenzi).

Project title: Software Quality, 2022 - 2024.
Project type: MUR PRO3 (Programma Scuole ad Ordinamento Speciale) projects.
GSSI team: Omar Inverso, Patrizio Pelliccione, Catia Trubiani, Emilio Tuosto.
Other research units: IMT Lucca, main contacts: Rocco De Nicola, Mirco Tribastone.

Project title: Adaptive Mechanical Ventilator Milano under Uncertainty – MVM-Adapt, 2021.
Project type: MUR FISR (Fondo Integrativo Speciale per la Ricerca) projects.
Other research units: University of Bergamo (Angelo Gargantini), University of Milano (Elvinia Riccobene).

Project title: Designing Spatially Distributed Cyber-Physical Systems under Uncertainty – SEDUCE, 2019-2022.
Project type: MUR PRIN (Programmi di Ricerca Scientifica di Rilevante Interesse Nazionale) projects, Young line/Linea Giovani
Other research units: IMT Lucca (Mirco Tribastone, coordinator), University of Trieste (Luca Bortolussi), University of Camerino (Francesco Tiezzi).

Tools (latest)

Tool name: JPAD, 2023.
Tool description: JPAD is a tool that automatically detects seven software antipatterns capturing a variety of performance issues in Java-based applications. It has been applied to real-world case studies from different domains, and it captures four real-life performance issues of Hadoop and Cassandra that were not predicted by state-of-the-art approaches.
Team: Catia Trubiani, Riccardo Pinciroli, Andrea Biaggi, Francesca Arcelli Fontana.
[paper], [JPAD web link]

Tool name: COORDINATE, 2023.
Tool description: COORDINATE is a tool that simulates and compares the performance characteristics of different coordination mechanisms for MAS while considering fault-tolerant and corrupted agents. Experimental results indicate that the inter-arrival time of tasks to be accomplished, the failure probability of agents, and the ratio of faithful to malicious agents contribute to determining the efficiency of different coordination mechanisms.
Team: Riccardo Pinciroli, Catia Trubiani.
[paper], [COORDINATE web link]

Tool name: JSIMutate, 2022.
Tool description: JSIMutate is a tool that makes use of queueing network performance models and enables the analysis of mutations of a model reflecting possible design changes to support designers in identifying the model elements that contribute to improving or worsening the system's performance.
Team: Thomas Laurent, Paolo Arcaini, Catia Trubiani, Anthony Ventresque.
[paper], [JSIMutate web link]

Tool name: fm2qn, 2020.
Tool description: fm2qn is a tool that transforms feature models (FM) into queueing networks (QN). It takes as input feature models annotated with performance-related characteristics and it derives queueing network performance models. Model-based performance analysis is carried out on the obtained qn models by selecting the products that show the maximum and minimum performance-based costs.
Team: Paolo Arcaini, Omar Inverso, Catia Trubiani.
[paper], [fm2qn web link]

How to - Introductory Lectures for PhD program at Gran Sasso Science Institute (GSSI)
Syllabus: How to write a paper. How to give a scientific talk. How to referee a scientific paper [more details].

Introduction to Formal Methods at Gran Sasso Science Institute (GSSI)
Syllabus: introduction to Stochastic Processes, Markov Processes,
Lab lectures on Discrete-time Markov chains (DTMCs) and Generalized Stochastic Petri Nets (GSPNs) [more details].

Formal Methods @ Work at Gran Sasso Science Institute (GSSI)
Syllabus: modelling, analysis, and testing of probabilistic systems: Stochastic Process Algebras,
Markov Decision Processes, Timed Automata, Queueing Networks [more details].

Invited lectures (latest)
2023: "Software Evolution and Reverse Engineering" course at the University of Milano Bicocca, Italy
Topics: software performance engineering, performance antipatterns, model-based performance analysis, performance-based profiling tools.

2022: "Quantitative Analysis of Software Designs" course at University of Stuttgart, Germany
Topics: software quality engineering, trade-off analysis, cyber-physical systems, architectural patterns for dynamic spaces.