AI-augmented automation for efficient DevOps, a model-based framework for continuous development At RunTime in cyber-physical systems

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Report on Foundations of MDE and AIOPS for DevOps

This deliverable describes the outputs of the stateoftheart studying activities performed in Task 31 with the aim to provide the scientific and technical background for WP2 WP3 and WP4 as well as for the design of the AIDOaRt integrated tool chain WP5

Dissemination Report - intermediate vers.

This deliverable is an updated version of D63 which will report changes in dissemination strategy and plans as well as provide the outline of the activities upto date

Use cases evaluation report - 2

This report will present the results of the last evaluation phase for AIDOaRt technologies. The report will validate the final release of the AIDOaRt technologies and will have a particular focus on industrial applicability as well as end-users endorsement of the overall approach.

Dissemination Report - final version

This deliverable is an updated version of D6.4, which will report the final changes in the impact strategy and plans as well as provide the outline of the activities up-to date.

AIDOaRt Integration Approach

This report will describe the overall integration approach taking into account the interfaces between tools model exchange formats and deployment peculiarities in order to provide endusers an integrated experience

Communication Plan

Communication plan for the first 12 month of the project This plan will contribute to the further reports

Dissemination Report - initial version.

This report provides an assessment of the progress towards the targeted impact objectives This deliverable reports all the activities for dissemination and community building management

Use cases evaluation report - 1

This report will present the results of the evaluation of the AIDOaRt technologies after the first use case development phase. The document will reflect the analysis of the progress towards the roadmap, requirements coverage and the improvements to be planned.

Use cases requirements and scenarios evaluation report

This report presents the result of the first evaluation of the AIDOaRt technologies on the base of the use cases requirements and defined scenarios The report will include the description of targeted testbed validation methodology experimentation plan

AIDOaRt Core Infrastructure and Framework - intermediate vers.

This deliverable is a consolidated version of D3.2, taking into account the first feedback received by the use case providers and integrating more recent technical developments as well as related new features.

AIDOaRt Core Infrastructure and Framework - initial vers.

This deliverable provides the specifications of the AIDOaRt Core Infrastructure and Framework as designed and developed in Tasks 32 33 and 34 The objective is to provide the general infrastructure modelbased framework and associated core services composing the AIDOaRt platform At this stage the specifications and some corresponding prototypes are provided to the use case providers for early experimentations

AIDOaRt Integrated framework - final vers

This deliverable is the final official release of the AIDOaRt framework.

Data collection and representation - interim. vers.

This deliverable is a consolidated version of D2.1 taking into account the feedback by the end-users and integrating the latest features.

AIDOaRt AI-Augmented toolkit - initial vers

This deliverable will provide the initial version of the AI-augmented tool set as developed in the context of WP4. Relying on the propositions from WP2 and WP4, the support offered by the provided tools will notably cover the features expected by the AIDOaRtuse cases providers in terms of AIOPS for requirements, monitoring, modelling, coding, and testing in the context of DevOps.

AIDOaRt AI-Augmented toolkit - intermediate. vers.

This deliverable describes the consolidated version of the AI-augmented tool set as developed in the context of WP4. A refinement of the previous tool set as provided by D4.2 (thanks to feedback collected from first industrial partners usages).

AIDOaRt Core Infrastructure and Framework - final vers.

This deliverable represents the final iteration of the AIDOaRt Infrastructure and Framework, as to be released for the final integration and evaluation phase of the AIDOaRt project.

AIDOaRt Integrated framework - initial vers.

This deliverable is the first official release of the AIDOaRt framework base on the results of the WP2-4.

Data collection and representation - initial vers.

This deliverable covers the provision of the initial version of the AIDOaRt Data Collection and Representation framework designed and developed in Task 21 Task 22 and Task 23 to support the management of the collected data that represents the initial input required to the AIDOaRt framework Design and prototypes are provided to the use cases owners for early experiments

Data collection and representation - final vers.

This deliverable represents the final iteration of the AIDOaRt Data Collection and Representation framework for the final integration and evaluation.

AIDOaRt AI-Augmented toolkit - final vers.

This deliverable represents the final iteration of the AI-augmented tool set developed in the context of WP4. This final version of the tool set will be the one actually deployed and used in the context of the AIDOaRt use cases.

Public Website and Social Media Presence - initial vers

This deliverable is the initial version of the public website of the AIDOaRt project and setup of the social media channels such as Twitter Linkedin and Youtube

Pubblicazioni

DescribeML: A dataset description tool for machine learning

Autori: Joan Giner-Miguelez, Abel Gómez, Jordi Cabot
Pubblicato in: Science of Computer Programming, Numero 231, 2024, Pagina/e 103030, ISSN 0167-6423
Editore: Elsevier BV
DOI: 10.1016/j.scico.2023.103030

Identification and Analysis of Bluetooth Devices via Automata Learning

Autori: Andrea Pferscher, Bernhard K. Aichernig
Pubblicato in: Formal Methods in System Design, 2023, ISSN 0925-9856
Editore: Kluwer Academic Publishers

Software assistants in software engineering: A systematic mapping study

Autori: Maxime Savary-Leblanc, Lola Burgueño, Jordi Cabot, Xavier Le Pallec, Sébastien Gérard
Pubblicato in: Softeware: practice and experience, 2022, ISSN 0038-0644
Editore: John Wiley & Sons Inc.
DOI: 10.1002/spe.3170

Dealing With Jamming Attacks in Uplink Pairwise NOMA Using Outage Analysis, Smart Relaying, and Redundant Transmissions

Autori: Van-Lan Dao, Elisabeth Uhlemann, Svetlana Girs
Pubblicato in: IEEE Open Journal of the Communications Society, Numero 5, 2024, Pagina/e 112-126, ISSN 2644-125X
Editore: IEEE
DOI: 10.1109/ojcoms.2023.3339175

Software test results exploration and visualization with continuous integration and nightly testing

Autori: Per Erik Strandberg, Wasif Afzal, Daniel Sundmark
Pubblicato in: International Journal on Software Tools for Technology Transfer, Numero 24, 2022, Pagina/e 261-285, ISSN 1433-2779
Editore: Springer Verlag
DOI: 10.1007/s10009-022-00647-1

Early Validation and Verification of System Behaviour in Model-based Systems Engineering: A Systematic Literature Review

Autori: Johan Cederbladh, Antonio Cicchetti, Jagadish Suryadevara
Pubblicato in: ACM Transactions on Software Engineering and Methodology, Numero 33, 2024, Pagina/e 1-67, ISSN 1049-331X
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3631976

An architecture for model-based and intelligent automation in DevOps

Autori: Romina Eramo, Bilal Said, Marc Oriol, Hugo Bruneliere, Sergio Morales
Pubblicato in: Journal of Systems and Software, Numero 217, 2024, Pagina/e 112180, ISSN 0164-1212
Editore: Elsevier BV
DOI: 10.1016/j.jss.2024.112180

Experiences and challenges from developing cyber‐physical systems in industry‐academia collaboration

Autori: Johan Cederbladh, Romina Eramo, Vittoriano Muttillo, Per Erik Strandberg
Pubblicato in: Software: Practice and Experience, Numero 54, 2024, Pagina/e 1193-1212, ISSN 0038-0644
Editore: John Wiley & Sons Inc.
DOI: 10.1002/spe.3312

AIDOaRt: AI-augmented Automation for DevOps, a Model-based Framework for Continuous Development in Cyber-Physical Systems

Autori: Hugo Bruneliere Vittoriano Muttillo, Romina Eramo, Luca Berardinelli, Abel Gomez, Alessandra Bagnato, Andrey Sadovykh, Antonio Cicchetti
Pubblicato in: Microprocessors and Microsystems (MICPRO) journal, 2022, ISSN 0141-9331
Editore: Elsevier BV

Integrating the Support for Machine Learning of Inter-Model Relations in Model Views.

Autori: James Pontes Miranda, Hugo Bruneliere, Massimo Tisi, Gerson Sunyé
Pubblicato in: The Journal of Object Technology, Numero 23, 2024, Pagina/e 1, ISSN 1660-1769
Editore: EtH Zurich
DOI: 10.5381/jot.2024.23.3.a4

Uncertainty management with extra-functional qualities in multi-artefact co-evolution

Autori: Francesco Basciani, Davide Di Ruscio, Ludovico Iovino, Alfonso Pierantonio
Pubblicato in: Journal of Object Technology, Numero Volume 20, no. 3 (June 2021), 2021, Pagina/e pp. 2:1-15, ISSN 1660-1769
Editore: EtH Zurich
DOI: 10.5381/jot.2021.20.3.a2

Learning minimal automata with recurrent neural networks

Autori: Bernhard K. Aichernig, Sandra König, Cristinel Mateis, Andrea Pferscher, Martin Tappler
Pubblicato in: Software and Systems Modeling, Numero 23, 2024, Pagina/e 625-655, ISSN 1619-1366
Editore: Springer Verlag
DOI: 10.1007/s10270-024-01160-6

Early Validation of SysML Architectures by Extending MBSE with Co‐Simulation using FMI and SSP

Autori: Johan Cederbladh, Daniel Krems
Pubblicato in: INCOSE International Symposium, Numero 34, 2024, Pagina/e 106-121, ISSN 2334-5837
Editore: INCOSE international Symposium
DOI: 10.1002/iis2.13135

An iterative approach for model-based requirements engineering in large collaborative projects: A detailed experience report

Autori: Andrey Sadovykh, Bilal Said, Dragos Truscan, Hugo Bruneliere
Pubblicato in: Science of Computer Programming, Numero 232, 2023, Pagina/e 103047, ISSN 0167-6423
Editore: Elsevier BV
DOI: 10.1016/j.scico.2023.103047

Architectural support for software performance in continuous software engineering: A systematic mapping study

Autori: Romina Eramo, Michele Tucci, Daniele Di Pompeo, Vittorio Cortellessa, Antinisca Di Marco, Davide Taibi
Pubblicato in: Journal of Systems and Software, Numero 207, 2024, Pagina/e 111833, ISSN 0164-1212
Editore: Elsevier BV
DOI: 10.1016/j.jss.2023.111833

Towards a model-driven approach for multiexperience AI-based user interfaces

Autori: Elena Planas, Gwendal Daniel, Marco Brambilla, Jordi Cabot
Pubblicato in: Software and Systems Modeling, Numero 2021, Volume 20, issue 4, 2021, Pagina/e 997 - 1009, ISSN 1619-1366
Editore: Springer Verlag
DOI: 10.1007/s10270-021-00904-y

Towards a Unified Architecture Methodology for Product Service Systems

Autori: Johan Cederbladh, Jagadish Suryadevara
Pubblicato in: INCOSE International Symposium, Numero 33, 2024, Pagina/e 154-168, ISSN 2334-5837
Editore: INCOSE International Symposium
DOI: 10.1002/iis2.13121

User-driven diverse scenario exploration in model finders

Autori: Robert Clarisó, Jordi Cabot
Pubblicato in: Science of Computer Programming, Numero 2022, Volume 215, 2022, ISSN 0167-6423
Editore: Elsevier BV
DOI: 10.1016/j.scico.2021.102745

Bridging MDE and AI: a systematic review of domain-specific languages and model-driven practices in AI software systems engineering

Autori: Simon Rädler, Luca Berardinelli, Karolin Winter, Abbas Rahimi, Stefanie Rinderle-Ma
Pubblicato in: Software and Systems Modeling, 2024, ISSN 1619-1366
Editore: Springer Verlag
DOI: 10.1007/s10270-024-01211-y

MORGAN: An intelligent modeling assistant based on kernel similarity and graph neural networks

Autori: Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio, Phuong T. Nguyen
Pubblicato in: International Journal on Software and Systems Modeling, 2023, ISSN 1619-1374
Editore: Springer
DOI: 10.1007/s10270-023-01102-8

Synergizing Transfer Learning and Multi-Agent Systems for Thermal Parametrization in Induction Traction Motors

Autori: Fozia Mehboob, Anas Fattouh, Smruti Sahoo
Pubblicato in: Control and Systems Engineering, 2024, ISSN 2529-7759
Editore: MDPI AG
DOI: 10.20944/preprints202403.0051.v1

A domain-specific language for describing machine learning datasets

Autori: Joan Giner-Miguelez, Abel Gómez, Jordi Cabot
Pubblicato in: Journal of Computer Languages, Numero 76, 2024, Pagina/e 101209, ISSN 2590-1184
Editore: ELSEVIER
DOI: 10.1016/j.cola.2023.101209

Evaluating System Identification Methods for Predicting Thermal Dissipation of Heterogeneous SoCs

Autori: Joel Öhrling, Sébastien Lafond and Dragos Truscan
Pubblicato in: International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS XXI), Numero XXI, 2021
Editore: Spinger LNCS

Applying Model-based Requirements Engineering in Three Large European Collaborative Projects: An Experience Report

Autori: Andrey Sadovykh, Dragos Truscan, Hugo Bruneliere
Pubblicato in: 29th IEEE International Requirements Engineering Conference (RE 2021), 2021, Pagina/e 367-377, ISBN 978-1-6654-2856-9
Editore: IEEE Computer Society
DOI: 10.1109/re51729.2021.00040

Verifying Neural Networks with SMT: An Experimental Evaluation

Autori: Dario Guidotti, Laura Pandolfo, Luca Pulina
Pubblicato in: 2023 IEEE 19th International Conference on e-Science (e-Science), Numero 3345, 2023, Pagina/e 1-2
Editore: IEEE
DOI: 10.1109/e-science58273.2023.10254877

Towards an In-Context LLM-Based Approach for Automating the Definition of Model Views

Autori: James Pontes Miranda, Hugo Bruneliere, Massimo Tisi ,Gerson Sunyé
Pubblicato in: 17th ACM SIGPLAN International Conference on Software Language Engineering (SLE’24), 2024
Editore: IEEE
DOI: 10.1145/3687997.3695650

Adaptive test generation for unmanned aerial vehicles using WOGAN-UAV

Autori: Jesper Winsten, Valentin Soloviev, Jarkko Peltomäki,Ivan Porres
Pubblicato in: IEEE/ACM International Workshop on Search-Based and Fuzz Testing, 2024
Editore: IEEE

Towards blended modeling and simulation of DevOps processes: the Keptn case study

Autori: Alessandro Colantoni, Luca Berardinelli, Antonio Garmendia, Johannes Bräuer
Pubblicato in: 2022
Editore: ACM/IEEE

Stateful Black-Box Fuzzing of Bluetooth Devices Using Automata Learning

Autori: Andrea Pferscher, Bernhard K. Aichernig
Pubblicato in: 2022
Editore: Springer LNCS

Symbolic Reasoning for Early Decision-Making in Model-Based Systems Engineering

Autori: Johan Cederbladh, Loek Cleophas, Eduard Kamburjan, Lucas Lima, Hans Vangheluwe
Pubblicato in: 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), Numero 7, 2024, Pagina/e 721-725
Editore: IEEE
DOI: 10.1109/models-c59198.2023.00117

Automating Bias Testing of LLMs

Autori: Sergio Morales, Robert Clarisó, Jordi Cabot
Pubblicato in: 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), Numero 29, 2023, Pagina/e 1705-1707
Editore: IEEE
DOI: 10.1109/ase56229.2023.00018

From TARA to Test: Automated Automotive Cybersecurity Test Generation Out of Threat Modeling

Autori: Stefan F Marksteiner, Christoph Schmittner, Korbinian Christl, Dejan Nickovic, Mikael Sjödin, Marjan Sirjani
Pubblicato in: Proceedings of the 7th ACM Computer Science in Cars Symposium, Numero 15408, 2024, Pagina/e 1-10
Editore: ACM
DOI: 10.1145/3631204.3631864

Online GANs for Automatic Performance Testing

Autori: Ivan Porres, Hergys Rexha, Sebastien Lafond,
Pubblicato in: 2021 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW), Numero 2021, Volume: 1, 2021, Pagina/e 95-100, ISBN 978-1-6654-4456-9
Editore: IEEE Computer Society

Smart Assistants for Enhancing System Security and Resilience

Autori: Andrey Sadovykh, Dragos Truscan, Martin Schneider, Wissam Mallouli, Cristina Seceleanu, Tanwir Ahmad and Ana Cavalli
Pubblicato in: 2024
Editore: IEEE

Towards AIDOaRt Objectives via Joint Model-based Architectural Effort

Autori: Bilal SAID, Andrey SADOVYKH, Etienne BROSSE and Alessandra BAGNATO
Pubblicato in: 2022
Editore: CEUR

Towards continuous consistency checking of DevOps artefacts

Autori: Colantoni, Alessandro ; Horváth, Benedek ; Horváth, Ákos ; Berardinelli, Luca ; Wimmer, Manuel
Pubblicato in: MODELS '21 Companion, Numero 24rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, 2021, ISBN 978-1-6654-2484-4
Editore: ACM/IEEE

Classifying Ambiguous Requirements: An Explainable Approach in Railway Industry

Autori: Lodiana Beqiri, Calkin Suero Montero, Antonio Cicchetti, Andrey Kruglyak
Pubblicato in: 2024 IEEE 32nd International Requirements Engineering Conference Workshops (REW), Numero 22, 2024, Pagina/e 12-21
Editore: IEEE
DOI: 10.1109/rew61692.2024.00007

AI-based estimation of embedded software execution cycles in host-compiled simulation

Autori: Raúl Gómez-Varela, David Aledo, Héctor Posadas and Eugenio Villar
Pubblicato in: Proceedings of the Design of Circuits and Integrated Systems (DCIS 2024), Numero 2024, 2024
Editore: IEEE

Providing Upgrade Plans for Third-party Libraries: A Recommender System using Migration Graphs

Autori: Riccardo Rubei. Davide Di Ruscio, Claudio Di Sipio, Juri Di Rocco, Phuong T. Nguyen
Pubblicato in: Applied Intelligence: The International Journal of Research on Intelligent Systems for Real Life Complex Problems, 2022
Editore: Springer
DOI: 10.1007/s10489-021-02911-4

Automation Support for System Simulation and Architecture Layout Design in Cyber-Physical Systems Engineering

Autori: Johan Cederbladh, Martin Eisenberg, Luca Berardinelli, Damir Bilic
Pubblicato in: MODELS 2024 SAM Conference, 2024
Editore: IEEE

Towards the Integration Support for Machine Learning of Inter-Model Relations in Model Views

Autori: James Pontes Miranda, Hugo Bruneliere, Massimo Tisi, Gerson Sunyé
Pubblicato in: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024, Pagina/e 1304-1306
Editore: ACM
DOI: 10.1145/3605098.3636143

Automated Passport Control: Mining and Checking Models of Machine Readable Travel Documents

Autori: Stefan Marksteiner, Marjan Sirjani, Mikael Sjödin
Pubblicato in: ACM International Conference Proceeding Series, Association for Computing Machinery , 2024, 2024
Editore: Association for Computing Machinery

Automated quality assessment of interrelated modeling artifacts

Autori: Francesco Basciani, Davide Di Ruscio, Ludovico Iovino and Alfonso Pierantonio
Pubblicato in: Euromicro DSD/SEAA 2021 Conference, 2021, Pagina/e 234-243, ISBN 978-1-6654-2705-0
Editore: IEEE Conference Publishing Services (CPS)
DOI: 10.1109/seaa53835.2021.00037

Towards a DSL for AI Engineering Process Modeling

Autori: Sergio Morales, Robert Clarisó, Jordi Cabot
Pubblicato in: 2022
Editore: Springer

A DSL for Testing LLMs for Fairness and Bias

Autori: Sergio Morales, Robert Clarisó, Jordi Cabot
Pubblicato in: Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems, Numero 21, 2024, Pagina/e 203-213
Editore: ACM
DOI: 10.1145/3640310.3674093

A Road-Map for Transferring Software Engineering methods for Model-Based Early V&V of Behaviour to Systems Engineering

Autori: Johan Cederbladh, Antonio Cicchetti
Pubblicato in: 2024
Editore: ACM

SBFT Tool Competition 2023 - Cyber-Physical Systems Track

Autori: Matteo Biagiola, Stefan Klikovits, Jarkko Peltomäki, Vincenzo Riccio
Pubblicato in: 2023 IEEE/ACM International Workshop on Search-Based and Fuzz Testing (SBFT), 2023
Editore: IEEE
DOI: 10.1109/sbft59156.2023.00010

Automated Passport Control: Mining and Checking Models of Machine Readable Travel Documents

Autori: Stefan Marksteiner, Marjan Sirjani, Mikael Sjödin
Pubblicato in: Proceedings of the 19th International Conference on Availability, Reliability and Security, 2024, Pagina/e 1-8
Editore: ACM
DOI: 10.1145/3664476.3670454

Industrial Requirements for Supporting AI-Enhanced Model-Driven Engineering

Autori: Johan Bergelin, Per Erik Strandberg
Pubblicato in: 2022
Editore: ACM/IEEE

Towards continuous modelling to enable DevOps: a preliminary study with practitioners

Autori: Johan Bergelin, Antonio Cicchetti
Pubblicato in: 2022
Editore: ACM/IEEE

Using NLP tools to detect ambiguities in system requirements - A comparison study

Autori: Aleksandar Bajceta, Miguel Leon,Wasif Afzal, Pernilla Lindberg, and Markus Bohlin
Pubblicato in: 2022
Editore: CEUR-WS.org

Light-Weight MBSE Approach for Construction Equipment Domain - An Experience Report

Autori: Johan Cederbladh, Jagadish Suryadevara
Pubblicato in: 2023 30th Asia-Pacific Software Engineering Conference (APSEC), Numero 176, 2024, Pagina/e 51-60
Editore: IEEE
DOI: 10.1109/apsec60848.2023.00015

AsyncSLA: Towards a Service Level Agreement for Asynchronous Services

Autori: Marc Oriol, Abel Gómez, Jordi Cabot
Pubblicato in: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, Numero 3, 2024, Pagina/e 1781-1788
Editore: ACM
DOI: 10.1145/3605098.3636074

Resource Constrained Test Case Prioritization with Simulated Annealing in an Industrial Context

Autori: Eric Felding, Per Erik Strandberg, Nils-Hassan Quttineh, Wasif Afzal
Pubblicato in: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, Numero 42, 2024, Pagina/e 1694-1701
Editore: ACM
DOI: 10.1145/3605098.3635971

Enabling Fast Exploration and Validation of Thermal Dissipation Requirements for Heterogeneous SoCs

Autori: Joel Ohrling, Dragos Truscan, Sebastien Lafond
Pubblicato in: 2021 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW), Numero 2021, Volume: 1, 2021, Pagina/e 114-123, ISBN 978-1-6654-4456-9
Editore: IEEE Computer Society
DOI: 10.1109/icstw52544.2021.00030

Wasserstein Generative Adversarial Networks for Online Test Generation for Cyber Physical Systems

Autori: Jarkko Peltomäki, Frankie Spencer, Ivan Porres
Pubblicato in: 2022
Editore: IEEE

Performance Comparison of IEEE 802.11p and LTE-V2X Through Field-Tests and Simulations

Autori: Joseba Gorospe, Daniel Garcia, Erislandy Mozo, Shahriar Hasan, Arrate Alonso Gómez, Elisabeth Uhlemann
Pubblicato in: 2024 IEEE Vehicular Networking Conference (VNC), 2024, Pagina/e 81-88
Editore: IEEE
DOI: 10.1109/vnc61989.2024.10576013

Verification of Neural Networks: Challenges and Perspectives in the AIDOaRt Project

Autori: Romina Eramo, Tiziana Fanni, Dario Guidotti, Laura Pandolfo, Luca Pulina, Katiuscia Zedda
Pubblicato in: 2022
Editore: ceur-ws.org

WOGAN at the SBFT 2023 Tool Competition - Cyber-Physical Systems Track

Autori: Jesper Winsten, Ivan Porres
Pubblicato in: 2023 IEEE/ACM International Workshop on Search-Based and Fuzz Testing (SBFT), 2023
Editore: IEEE
DOI: 10.1109/sbft59156.2023.00009

Data-driven reinforcement learning-based parametrization of a thermal model in induction traction motors

Autori: Anas Fattouh, Smrutirekha Sahoob
Pubblicato in: Linköping Electronic Conference Proceedings, Proceedings of the 64th International Conference of Scandinavian Simulation Society, SIMS 2023 Västerås, Sweden, September 25-28, 2023, Numero 200, 2023, Pagina/e 310-317
Editore: Linköping University Electronic Press
DOI: 10.3384/ecp200040

WOGAN at the SBST 2022 CPS Tool Competition

Autori: Jarkko Peltomäki, Frankie Spencer, Ivan Porres
Pubblicato in: 2022
Editore: IEEE

Requirement or not, that is the question:A case from the railway industry

Autori: Sarmad Bashir, Muhammad Abbas, Mehrdad Saadatmand, Eduard Paul Enoiu, Markus Bohlin, Pernilla Lindberg
Pubblicato in: 2023
Editore: Springer
DOI: 10.1007/978-3-031-29786-1_8

AIDOaRt: AI-augmented Automation for DevOps, a Model-based Framework for Continuous Development in Cyber-Physical Systems

Autori: Romina Eramo, Vittoriano Muttillo, Luca Berardinelli, Hugo Bruneliere, Abel Gomez, Alessandra Bagnato, Andrey Sadovykh, Antonio Cicchetti
Pubblicato in: Euromicro DSD/SEAA 2021 Conference, 2021, Pagina/e 303-310, ISBN 978-1-6654-2703-6
Editore: IEEE Conference Publishing Services (CPS)
DOI: 10.1109/dsd53832.2021.00053

ARCH-COMP23 Category Report: Falsification

Autori: Claudio Menghi, Paolo Arcaini, Walstan Baptista, Gidon Ernst, Georgios Fainekos, Federico Formica, Sauvik Gon, Tanmay Khandait, Atanu Kundu, Giulia Pedrielli, Jarkko Peltomäki, Ivan Porres, Rajarshi Ray, Masaki Waga, Zhenya Zhang
Pubblicato in: EPiC Series in Computing, Numero 96, 2023, Pagina/e 151-131
Editore: EasyChair
DOI: 10.29007/6nqs

Application de l'Ingénierie des Exigences basée sur les Modèles dans Trois Grands Projets Collaboratifs Européens: Un Rapport d'Expérience

Autori: Andrey Sadovykh, Hugo Bruneliere, Dragos Truscan
Pubblicato in: 2022
Editore: Hal open science

ARCH-COMP 2024 Category Report: Falsification

Autori: Tanmay Khandait, Federico Formica, Paolo Arcaini, Surdeep Chotaliya, Georgios Fainekos, Abdelrahman Hekal, Atanu Kundu, Ethan Lew, Michele Loreti, Claudio Menghi, Laura Nenzi, Giulia Pedrielli, Jarkko Peltomäki, Ivan Porres, Rajarshi Ray, Valentin Soloviev, Ennio Visconti, Masaki Waga, Zhenya Zhang
Pubblicato in: EPiC Series in Computing, Numero 103, 2024, Pagina/e 122-98
Editore: EasyChair
DOI: 10.29007/hgfv

Leveraging model-driven technologies for JSON artefacts : the shipyard case study

Autori: Colantoni, Alessandro ; Garmendia, Antonio ; Berardinelli, Luca ; Wimmer, Manuel ; Bräuer, Johannes
Pubblicato in: MODELS '21, Numero 24rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, 2021
Editore: ACM/IEEE

Dynamic Test Case Prioritization in Industrial Test Result Datasets

Autori: Alina Torbunova, Per Erik Strandberg, Ivan Porres
Pubblicato in: Proceedings of the 5th ACM/IEEE International Conference on Automation of Software Test (AST 2024), 2024, Pagina/e 154-158
Editore: ACM
DOI: 10.1145/3644032.3644452

Teaching and Training in Formalisation with B

Autori: Thierry Lecomte
Pubblicato in: Formal Methods Teaching Workshop, 2023
Editore: Springer
DOI: 10.1007/978-3-031-27534-0_6

Enabling Content Management Systems as an Information Source in Model-Driven Projects

Autori: Joan Giner-Miguelez, Abel Gómez, Jordi Cabot
Pubblicato in: 2022
Editore: Springer

AI-augmented Model-Based Capabilities in the AIDOaRt Project: Continuous Development of Cyber-Physical Systems

Autori: Alessandra Bagnato, Antonio Cicchetti, Luca Berardinelli, Hugo Bruneliere, Romina Eramo
Pubblicato in: 2022
Editore: Ada Europe

(Not) Yet Another Metamodel For Traceability

Autori: Edouard R. Batot, Jordi Cabot, Sebastien Gerard
Pubblicato in: The 13th System Analysis and Modelling Conference (SAM 2021), collocated with the 24th International Conference on Model-Driven Engineering and Systems (MODELS 2021), Numero 13th, 2021, Pagina/e 787-796, ISBN 978-1-6654-2484-4
Editore: IEEE

Testing cyber-physical systems with explicit output coverage

Autori: Jarkko Peltomäki, Jesper Winsten, Maxime Methais, Ivan Porres
Pubblicato in: 2024 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW), 2024
Editore: IEEE

Towards Interoperable Digital Twins: Integrating SysML into AAS with Higher-Order Transformations

Autori: Enxhi Ferko, Luca Berardinelli, Alessio Bucaioni, Moris Behnam, Manuel Wimmer
Pubblicato in: 2024 IEEE 21st International Conference on Software Architecture Companion (ICSA-C), Numero 57, 2024, Pagina/e 342-349
Editore: IEEE
DOI: 10.1109/icsa-c63560.2024.00063

Correlating Logical and Physical Models for Early Performance Validation - An Experience Report

Autori: Johan Cederbladh, Marcel Gottschall, Jagadish Suryadevara, Khaled Alekeish
Pubblicato in: 2024 IEEE International Systems Conference (SysCon), Numero 25, 2024, Pagina/e 1-8
Editore: IEEE
DOI: 10.1109/syscon61195.2024.10553493

Learning and Repair of Deep Reinforcement Learning Policies from Fuzz-Testing Data

Autori: Martin Tappler, Andrea Pferscher, Bernhard K. Aichernig, Bettina Könighofer
Pubblicato in: Proceedings of the IEEE/ACM 46th International Conference on Software Engineering, Numero 123, 2024, Pagina/e 1-13
Editore: ACM
DOI: 10.1145/3597503.3623311

Verifying Neural Networks with Non-Linear SMT Solvers: a Short Status Report

Autori: Dario Guidotti, Laura Pandolfo, Luca Pulina
Pubblicato in: 2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI), Numero 2495, 2024, Pagina/e 423-428
Editore: IEEE
DOI: 10.1109/ictai59109.2023.00068

Endowing third-party libraries recommender systems with explicit user feedback mechanisms

Autori: Riccardo Rubei, Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio and Phuong T. Nguyen
Pubblicato in: 2022
Editore: IEEE

Barriers for Adopting FMI-Based Co-Simulation in Industrial MBSE Processes

Autori: Johan Cederbladh, Anna Reale, Andreas Bergsten, Richard Mikelöv, Antonio Cicchetti
Pubblicato in: 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), Numero 33, 2024, Pagina/e 510-519
Editore: IEEE
DOI: 10.1109/models-c59198.2023.00088

Towards Automating Model-Based Systems Engineering in Industry - An Experience Report

Autori: Johan Cederbladh, Luca Berardinelli, Hugo Bruneliere, Antonio Cicchetti, MohammadHadi Dehghani, Claudio Di Sipio, James Miranda, Abbas Rahimi, Riccardo Rubei, Jagadish Suryadevara
Pubblicato in: 2024 IEEE International Systems Conference (SysCon), Numero 12, 2024, Pagina/e 1-8
Editore: IEEE
DOI: 10.1109/syscon61195.2024.10553610

On the impact of Performance Antipatterns in multi-objective software model refactoring optimization

Autori: Vittorio Cortellessa, Daniele Di Pompeo, Vincenzo Stoico, Michele Tucci
Pubblicato in: 47th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2021, Numero 47th, 2021, 2021, Pagina/e 224--233
Editore: IEEE Conference Publishing Services (CPS)
DOI: 10.1109/seaa53835.2021.00036

Falsification of Multiple Requirements for Cyber-Physical Systems Using Online Generative Adversarial Networks and Multi-Armed Bandits

Autori: Jarkko Peltomäki, Ivan Porres
Pubblicato in: 2022
Editore: IEEE

DescribeML: a tool for describing machine-learning datasets

Autori: Joan Giner, Abel Gómez, Jordi Cabot
Pubblicato in: MODELS '22: Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, 2022
Editore: ACM

Engineering data-sharing practices for a fair and trustworthy AI

Autori: Joan Giner Miguélez
Pubblicato in: 2024
Editore: Universitat Oberta de Catalunya

Model-Driven Security Test Case Generation Using Threat Modeling and Automata Learning

Autori: Stefan Marksteiner
Pubblicato in: 2024
Editore: Mälardalen University

Automata Learning for Security Testing and Analysis in Networked Environments

Autori: Andrea Pferscher
Pubblicato in: 2023
Editore: Graz University of Technology

Towards Early Validation and Verification of System Behaviour with Heterogenous Models in Systems Engineering

Autori: Johan Cederbladh
Pubblicato in: 2024, ISSN 1651-9256
Editore: Mälardalen University

Towards Adopting a Digital Twin Framework (ISO 23247) for Battery Systems

Autori: Johan Cederbladh, Enxhi Ferko, Emil Lundin
Pubblicato in: Advances in Intelligent Systems and Computing, ITNG 2024: 21st International Conference on Information Technology-New Generations, 2024, Pagina/e 397-404
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-56599-1_51

Toward Formalizing a Systems of Systems Core Ontology for Capability Configuration: A SysML Approach

Autori: Joyce Martin, Johan Cederbladh
Pubblicato in: Conference on Systems Engineering Research Series, The Proceedings of the 2024 Conference on Systems Engineering Research, 2024, Pagina/e 27-34
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-62554-1_3

Making Sense of Failure Logs in an Industrial DevOps Environment

Autori: Muhammad Abbas, Ali Hamayouni, Mahshid H. Moghadam, Mehrdad Saadatmand, Per E. Strandberg
Pubblicato in: Advances in Intelligent Systems and Computing, ITNG 2023 20th International Conference on Information Technology-New Generations, 2023, Pagina/e 217-226
Editore: Springer International Publishing
DOI: 10.1007/978-3-031-28332-1_25

The Westermo test results data set

Autori: Per Erik Strandberg
Pubblicato in: GitHub, 2022
Editore: GitHub

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