Addressing Verification and Validation Challenges in Future Cyber-Physical Systems

Risultati finali

ADVANCE Training Material - Initial Version

Initial version of the ADVANCE training material.

ADVANCE Training Material - Final Version

Final revised version of the ADVANCE training material.

This deliverable is the output of T1.2, and will contain an analysis of the state of the art on the V&V of CPS.

V&V Techniques for Cyber-Physical Systems - Final Version

This deliverable is an updated version of D2.1, and collects the final outputs of tasks T2.1 and T2.2. It will contain thefinal version of the ADVANCE techniques for the V&V of Cyber-Physical Systems.

Techniques for Management and Analysis of V&V-Related Data - Final Version

This deliverable is an updated version of D3.1, and collects the final outputs of tasks T3.1 and T3.2. it will contain the final version of the ADVANCE methodologies that can be applied during system operation to support the V&V of CPSs.

Analysis of ADVANCE Results and Future Research Roadmap for CPSs

This deliverable is the output of T1.3, and will contain an analysis of project results and a research roadmap for futurework on the topic of V&V of CPSs.

Pubblicazioni

Enhanced software development process for CubeSats to cope with space radiation faults

Autori: David Paiva; Raffael Lima; Manoel Carvalho; Fátima Mattiello-Francisco; Henrique Madeira
Pubblicato in: 2022 IEEE 27th Pacific Rim International Symposium on Dependable Computing (PRDC), 2022
Editore: IEEE
DOI: 10.1109/prdc55274.2022.00022

Using a quality model to evaluate user interface trustworthiness of e-commerce systems: scoring strategies and preliminary results

Autori: Casare A., da Silva C., Basso, T., Moraes R
Pubblicato in: Proc. of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - HUCAPP, Numero 2, 2022, Pagina/e 209-216, ISBN 978-989-758-555-5
Editore: SCITEPRESS – Science and Technology Publications, Lda.
DOI: 10.5220/0010889700003124

The GOLDS satellite constellation: preparatory works for a model-based performability analysis

Autori: F. Mariotti, P. Lollini and F. Mattiello-Francisco
Pubblicato in: 2023 IEEE 34th International Symposium on Software Reliability Engineering Workshops (ISSREW), 2023
Editore: IEEE
DOI: 10.1109/issrew60843.2023.00067

Model-Driven Fault Injection in Java Source Code

Autori: Elder Rodrigues, Leonardo Montecchi, Andrea Ceccarelli
Pubblicato in: 2020 IEEE 31st International Symposium on Software Reliability Engineering (ISSRE), 2020, Pagina/e 414-425, ISBN 978-1-7281-9870-5
Editore: IEEE
DOI: 10.1109/issre5003.2020.00046

Using Metamodels to Improve Model-Based Testing of Service Orchestrations

Autori: Lucas Leal, Leonardo Montecchi, Andrea Ceccarelli, Eliane Martins
Pubblicato in: 2020 IEEE 25th Pacific Rim International Symposium on Dependable Computing (PRDC), 2022, Pagina/e 130-139, ISBN 978-1-7281-8003-8
Editore: IEEE
DOI: 10.1109/prdc50213.2020.00024

An Eclipse-Based Editor for SAN Templates

Autori: Leonardo Montecchi, Paolo Lollini, Federico Moncini, Kenneth Keefe
Pubblicato in: Dependable Computing - EDCC 2020 Workshops - AI4RAILS, DREAMS, DSOGRI, SERENE 2020, Munich, Germany, September 7, 2020, Proceedings, Numero 1279, 2020, Pagina/e 159-167, ISBN 978-3-030-58461-0
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-58462-7_13

Preliminary Risk and Mitigation Assessment in Cyber-Physical Systems

Autori: Földvári, András; Pataricza, András; Brancati, Francesco
Pubblicato in: 2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), Numero 5, 2023
Editore: IEEE
DOI: 10.1109/DSN-W58399.2023.00067

Addressing Verification and Validation Challenges in Future Cyber-Physical Systems

Autori: Nuno Laranjeiro, Camilo Gomez, Enrico Schiavone, Leonardo Montecchi, Manoel J. M. Carvalho, Paolo Lollini, Zoltan Micskei
Pubblicato in: 2019 9th Latin-American Symposium on Dependable Computing (LADC), 2019, Pagina/e 1-2, ISBN 978-1-7281-6622-3
Editore: IEEE
DOI: 10.1109/ladc48089.2019.8995714

Exploiting MDE for Platform-Independent Testing of Service Orchestrations

Autori: Lucas Leal, Leonardo Montecchi, Andrea Ceccarelli, Eliane Martins
Pubblicato in: 2019 15th European Dependable Computing Conference (EDCC), 2019, Pagina/e 149-152, ISBN 978-1-7281-3929-6
Editore: IEEE
DOI: 10.1109/edcc.2019.00037

Using Metamodels to Improve Model-Based Testing of Service Orchestrations

Autori: Lucas Leal; Leonardo Montecchi; Andrea Ceccarelli; Eliane Martins
Pubblicato in: PRDC, Numero 2, 2020
Editore: IEEE
DOI: 10.1109/prdc50213.2020.00024

Stochastic modeling and analysis of vapor cloud explosions domino effects in chemical plants

Autori: Diego Sierra, Leonardo Montecchi, Ivan Mura
Pubblicato in: Journal of the Brazilian Computer Society, Numero 25/1, 2019, ISSN 0104-6500
Editore: Sociedade Brasileira de Computacao
DOI: 10.1186/s13173-019-0092-8

Design of small satellite constellations for data communication

Autori: Antonio Prado, Pedro Carvalho, Paolo Lollini, Francesco Mariotti, Fatima Mattiello-Francisco, Leonardo Santos, Lucas Pacheco, Lucas Silva
Pubblicato in: Mathematics in Science, Engineering, and Aerospace (MESA), Numero Vol. 15 No. 3, 2024, Pagina/e 659-672, ISSN 2041-3165
Editore: Cambridge Scientific Publishers

Stochastic Activity Networks Templates: Supporting Variability in Performability Models

Autori: Leonardo Montecchi; Paolo Lollini; Andrea Bondavalli
Pubblicato in: IEEE Transactions on Reliability, Numero 4, 2021, ISSN 0018-9529
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.48550/arxiv.2006.09291

Using Fault Injection to Assess Blockchain Systems in Presence of Faulty Smart Contracts

Autori: Akos Hajdu, Naghmeh Ivaki, Imre Kocsis, Attila Klenik, Laszlo Gonczy, Nuno Laranjeiro, Henrique Madeira, Andras Pataricza
Pubblicato in: IEEE Access, Numero 8, 2020, Pagina/e 190760-190783, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2020.3032239

Stochastic Activity Networks Templates: Supporting Variability in Performability Models

Autori: Leonardo Montecchi, Paolo Lollini, Andrea Bondavalli
Pubblicato in: IEEE Transactions on Reliability, Numero 71, 2024, Pagina/e 640-656, ISSN 0018-9529
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tr.2021.3120979

Risultati finali

Pubblicazioni

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