Federico Giaimo

Visar 12 publikationer

2022

Over 60,000 km in a year: remotely collecting large-volume high-quality data from a logistics truck

Christian Berger, Arpit Karsolia, Federico Giaimo et al
SN Applied Sciences. Vol. 4 (10)
Artikel i vetenskaplig tidskrift
2020

Continuous Experimentation and the cyber-physical systems challenge: An overview of the literature and the industrial perspective.

Federico Giaimo, Hugo Sica de Andrade, Christian Berger
Journal of Systems and Software. Vol. 170
Artikel i vetenskaplig tidskrift
2020

Continuous Experimentation for Automotive Software on the Example of a Heavy Commercial Vehicle in Daily Operation

Federico Giaimo, Christian Berger
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 12292 LNCS, p. 73-88
Paper i proceeding
2019

The Automotive Take on Continuous Experimentation: A Multiple Case Study

Federico Giaimo, Hugo Sica de Andrade, Christian Berger
Proceedings - 45th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2019, p. 126-130
Paper i proceeding
2017

Considerations about continuous experimentation for resource-constrained platforms in self-driving vehicles

Federico Giaimo, Christian Berger, Crispin Kirchner
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 10475 LNCS, p. 84-91
Paper i proceeding
2017

Design Criteria to Architect Continuous Experimentation for Self-Driving Vehicles

Federico Giaimo, Christian Berger
Proceedings - 2017 IEEE International Conference on Software Architecture, ICSA 2017, p. 203-210
Paper i proceeding
2016

Continuous experimentation on cyber-physical systems: Challenges and opportunities

Federico Giaimo, Hang Yin, Christian Berger et al
XP 2016 Scientific Workshops; Edinburgh; United Kingdom;(ACM International Conference Proceeding Series vol 24). Vol. 24-May-2016, p. Article no 2962709-
Paper i proceeding
2016

Adaptive message restructuring using model-driven engineering

Hang Yin, Federico Giaimo, Hugo Sica de Andrade et al
Advances in Intelligent Systems and Computing. Vol. 448, p. 773-783
Kapitel i bok
2015

Improving Bandwidth Efficiency with Self-Adaptation for Data Marshalling on the Example of a Self-Driving Miniature Car

Federico Giaimo, Hugo Sica de Andrade, Christian Berger et al
Proceedings of the 2015 European Conference on Software Architecture Workshops Article No. 21. Vol. 07-11-September-2015
Paper i proceeding
2015

Systematic Evaluation of Three Data Marshalling Approaches for Distributed Software Systems

Hugo Sica de Andrade, Federico Giaimo, Christian Berger et al
Proceedings of the 15th Workshop on Domain-Specific Modelling, p. 71-76
Paper i proceeding

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