SACSys - Safe and Secure Adaptive Collaborative Systems



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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]

Safety Case Maintenance: A Systematic Literature Review (Aug 2021)
Carmen Carlan , Barbara Gallina, Liana Soima
40th International Conference on Computer Safety, Reliability and Security (SAFECOMP-2021)

LOOPS: A Holistic Control Approach for Resource Management in Cloud Computing (Apr 2021)
Auday Al-Dulaimy, Javid Taheri , Alessandro Papadopoulos, Thomas Nolte
12th ACM/SPEC International Conference on Performance Engineering (ICPE 2021)

A Probabilistic Model of Belief in Safety Cases (Feb 2021)
Damir Nesic , Mattias Nyberg , Barbara Gallina
Safety Science Elsevier Journal-2021 (SSJ-2021)

ProDSPL: Proactive Self-Adaptation based on Dynamic Software Product Lines (Jan 2021)
Inmaculada Ayala, Alessandro Papadopoulos, Mercedes Amor , Lidia Fuentes
Journal of Systems and Software (JSS)

Checkable Safety Cases: Enabling Automated Consistency Checks between Safety Work Products (Jan 2021)
Carmen Carlan , Daniel Petrisor , Barbara Gallina, Hannes Schoenhaar
10th IEEE International Workshop on Software Certification (WoSoCER-2020)

Making SafeConcert Security-informed to Enable Multi-concern Modelling (Nov 2020)
Barbara Gallina, Zulqarnain Haider
30th European Safety and Reliability Conference (ESREL-2020)

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

Marjan Sirjani, Professor

Room: U1-066C
Phone: +46736620517