Objective
The goal of SYMBIOSYS is to assure the reliability and interoperability of networked (software) systems, a crucial requirement in today’s networked information society. To this end, we devise a software and systems analysis methodology that – for the first time – considers the vital influence factors that determine the behavior of networked systems, especially including input and temporal uncertainty of network interactions. With SYMBIOSYS, we will be able to automatically
and effciently explore and analyze the vast amount of distributed execution paths in networked systems in a highly structured manner inspired by Symbolic Execution (SE).
The combination of the benefits of model checking (rigorous exploration) and of dynamic software testing (analyzing real systems’ code) represents a quantum leap in the field of network analysis. Orthogonal to and complementing formal model-based approaches, which target the design of reliable systems on an abstract (model-) level, we also address system- and
implementation-level aspects of (typically heterogeneous) implementations that interact via unpredictable networks. To achieve this, we introduce the fundamentally new approaches Symbolic Distributed Execution (SDE), Symbolic Temporal Execution (STE) and their symbiosis (SDTE). This is a breakthrough in the symbolic analysis of real systems and significantly widens the scope of SE to new analysis domains.
Our novel approach raises the issue of complexity and path explosion. Yet, our experience from early work on SDE strongly suggests that the use of domain-specific knowledge and further general optimization strategies allow to significantly reduce this complexity and enable an efficient analysis. SYMBIOSYS also enables and fosters the design of new methods and tools to ensure reliability, interoperability, and other vital properties of networked systems. We demonstrate our new methodology through examples from Cyber-Physical Systems and low-latency communication.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- natural sciences biological sciences biological behavioural sciences ethology biological interactions
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
ERC-COG - Consolidator Grant
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2014-CoG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
52062 Aachen
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.