SACSys - Safe and Secure Adaptive Collaborative Systems

Status:

active

Start date:

2019-09-01

End date:

2023-08-31

There is a rapid development of technology such as self-driving cars and collaborating robots. These products are additionally integrated into collaborating ensembles, capable of delivering collaborative functions, such as vehicle platooning. At the same time as the complexity and diversity of these systems grow, they have to become increasingly adaptive, both because their complex interplay and behavior cannot be fully predicted and analyzed at design-time, and also because they operate in unpredictable environments. Current state-of practice in system architecture, software development and safety and security assurance is challenged by this development.
In SACSys, we address the core question of how to provide run-time guarantees of safety and cyber-security for time-critical collaborative adaptive systems. For achieving this goal, we will recognize and define continuous safety and security requirements with time-criticality features in adaptive systems (through subproject CASSA), and design behavioral models at run-time to analyze and check  conformance of the safety and security requirements (through subproject APAC). The analysis of such models will be executed in a suitable cloud-based platform with real-time guarantees, provided by novel approaches (developed within subproject RTCloud). These subprojects will each contribute with a required element, and jointly provide a viable answer to the SACSys core question. The Swedish industrial giants, Volvo Cars, Volvo GTO, Volvo CE and ABB Robotics participate in coproduction throughout the project by provision of requirements and use cases as well as involvement and guidance in research focus and implementation. The co-production and results of SACSys are expected to increase the business prospects of the industrial partners by increased competence and key solutions that will strengthen their competitiveness related to design of collaborative adaptive system products and services. Prof. Edward Lee from UC Berkeley, the world’s leading expert in cyber-physical systems, and Prof. David Garlan from CMU, the internationally known expert in self-adaptive software, will contribute as external advisors of the project.

[Show all publications]

Design-time Specification of Dynamic Modular Safety Cases In Support of Run-Time Safety Assessment (Feb 2022)
Elham Mirzaei , Carmen Carlan , Carsten Thomas , Barbara Gallina
Safety-Critical Systems Symposium (SSS-2022)

Towards Qualitative and Quantitative Dependability Analyses for AR-equipped Socio-technical Systems (Nov 2021)
Soheila Sheikh Bahaei, Barbara Gallina
5th International Conference on System Reliability and Safety (ICSRS-2021)

REACT: Enabling Real-Time Container Orchestration (Sep 2021)
Václav Struhár, Silviu Craciunas , Mohammad Ashjaei, Moris Behnam, Alessandro Papadopoulos
26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021)

Self-adapting Industrial Augmented Reality applications with proactive Dynamic Software Product Lines (Sep 2021)
Inmaculada Ayala, Mercedes Amor , Lidia Fuentes , Alessandro Papadopoulos
26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021)

Extended Abstract: ProDSPL: Proactive Self-Adaptation based on Dynamic Software ProductLines (Sep 2021)
Inmaculada Ayala, Alessandro Papadopoulos, Mercedes Amor , Lidia Fuentes
25th ACM International Systems and Software Product Line Conference (SPLC 2021)

Multi-paradigm modeling for cyber-physical systems: A systematic mapping review (Sep 2021)
Ankica Barišić , Ivan Ruchkin , Dušan Savić , Mustafa Abshir Mohamed , Rima Al-Ali , Letitia W. Li , Hana Mkaouar , Raheleh Eslampanah , Moharram Challenger , Dominique Blouin , Oksana Nikiforova , Antonio Cicchetti
Journal of Systems and Software (JSS)

PartnerType
ABB Robotics Industrial
Volvo Cars Industrial
Volvo Construction Equipment AB Industrial
Volvo GTO Industrial

Marjan Sirjani, Professor

Email: marjan.sirjani@mdh.se
Room: U1-066C
Phone: +46736620517