38 research outputs found

    Towards a Formal Basis for Modular Safety Cases

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    Safety assurance using argument-based safety cases is an accepted best-practice in many safety-critical sectors. Goal Structuring Notation (GSN), which is widely used for presenting safety arguments graphically, provides a notion of modular arguments to support the goal of incremental certification. Despite the efforts at standardization, GSN remains an informal notation whereas the GSN standard contains appreciable ambiguity especially concerning modular extensions. This, in turn, presents challenges when developing tools and methods to intelligently manipulate modular GSN arguments. This paper develops the elements of a theory of modular safety cases, leveraging our previous work on formalizing GSN arguments. Using example argument structures we highlight some ambiguities arising through the existing guidance, present the intuition underlying the theory, clarify syntax, and address modular arguments, contracts, well-formedness and well-scopedness of modules. Based on this theory, we have a preliminary implementation of modular arguments in our toolset, AdvoCATE

    Supporting the automated generation of modular product line safety cases

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    Abstract The effective reuse of design assets in safety-critical Software Product Lines (SPL) would require the reuse of safety analyses of those assets in the variant contexts of certification of products derived from the SPL. This in turn requires the traceability of SPL variation across design, including variation in safety analysis and safety cases. In this paper, we propose a method and tool to support the automatic generation of modular SPL safety case architectures from the information provided by SPL feature modeling and model-based safety analysis. The Goal Structuring Notation (GSN) safety case modeling notation and its modular extensions supported by the D-Case Editor were used to implement the method in an automated tool support. The tool was used to generate a modular safety case for an automotive Hybrid Braking System SPL

    Safety arguments for next generation location aware computing

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    Concerns over the accuracy, availability, integrity and continuity of Global Navigation Satellite Systems (GNSS) have limited the integration of GPS and GLONASS for safety-critical applications. More recent augmentation systems, such as the European Geostationary Navigation Overlay Service (EGNOS) and the North American Wide Area Augmentation System (WAAS) have begun to address these concerns. Augmentation architectures build on the existing GPS/GLONASS infrastructures to support locationbased services in Safety of Life (SoL) applications. Much of the technical development has been directed by air traffic management requirements, in anticipation of the more extensive support to be offered by GPS III and Galileo. WAAS has already been approved to provide vertical guidance against ICAO safety performance criteria for aviation applications. During the next twelve months, we will see the full certification of EGNOS for SoL applications. This paper identifies strong similarities between the safety assessment techniques used in Europe and North America. Both have relied on hazard analysis techniques to derive estimates of the Probability of Hazardously Misleading Information (PHMI). Later sections identify significant differences between the approaches adopted in application development. Integrated fault trees have been developed by regulatory and commercial organisations to consider both infrastructure hazards and their impact on non-precision RNAV/VNAV approaches using WAAS. In contrast, EUROCONTROL and the European Space Agency have developed a more modular approach to safety-case development for EGNOS. It remains to be seen whether the European or North American strategy offers the greatest support as satellite based augmentation systems are used within a growing range of SoL applications from railway signalling through to Unmanned Airborne Systems. The key contribution of this paper is to focus attention on the safety arguments that might support this wider class of location based services

    Model-Based Engineering of Collaborative Embedded Systems

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    This Open Access book presents the results of the "Collaborative Embedded Systems" (CrESt) project, aimed at adapting and complementing the methodology underlying modeling techniques developed to cope with the challenges of the dynamic structures of collaborative embedded systems (CESs) based on the SPES development methodology. In order to manage the high complexity of the individual systems and the dynamically formed interaction structures at runtime, advanced and powerful development methods are required that extend the current state of the art in the development of embedded systems and cyber-physical systems. The methodological contributions of the project support the effective and efficient development of CESs in dynamic and uncertain contexts, with special emphasis on the reliability and variability of individual systems and the creation of networks of such systems at runtime. The project was funded by the German Federal Ministry of Education and Research (BMBF), and the case studies are therefore selected from areas that are highly relevant for Germany’s economy (automotive, industrial production, power generation, and robotics). It also supports the digitalization of complex and transformable industrial plants in the context of the German government's "Industry 4.0" initiative, and the project results provide a solid foundation for implementing the German government's high-tech strategy "Innovations for Germany" in the coming years

    Towards the Resolution of Safety and Security Conflicts

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    © 2021, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This is the accepted manuscript version of a conference paper which has been published in final form at https://doi.org/10.1109/ICCST49569.2021.9717390Safety engineering and cyber security have complementary aims, but typically realise these using different techniques, risk assessment methods and cultural approaches. As a result, the integration of safety and cyber security concerns is a complex process, with potential for conflict. We present a generalized taxonomy of common conflict areas between safety and cyber security, oriented around the development and deployment lifecycle, and supplement this with a discussion of concepts and methodologies for resolution based on the shared principle of defence-in-depth

    Multi-core devices for safety-critical systems: a survey

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    Multi-core devices are envisioned to support the development of next-generation safety-critical systems, enabling the on-chip integration of functions of different criticality. This integration provides multiple system-level potential benefits such as cost, size, power, and weight reduction. However, safety certification becomes a challenge and several fundamental safety technical requirements must be addressed, such as temporal and spatial independence, reliability, and diagnostic coverage. This survey provides a categorization and overview at different device abstraction levels (nanoscale, component, and device) of selected key research contributions that support the compliance with these fundamental safety requirements.This work has been partially supported by the Spanish Ministry of Economy and Competitiveness under grant TIN2015-65316-P, Basque Government under grant KK-2019-00035 and the HiPEAC Network of Excellence. The Spanish Ministry of Economy and Competitiveness has also partially supported Jaume Abella under Ramon y Cajal postdoctoral fellowship (RYC-2013-14717).Peer ReviewedPostprint (author's final draft

    Safety and security aware framework for the development of feedback control systems

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    The need to address safety and security related aspects at an early stage of development of feedback control systems (FCS) has been identified as vital for the optimisation of the development process of military land systems. These systems often include network enabled capability (NEC) allowing the use of electronics architectures to integrate different sub-systems. However, this increased integration capability is associated with magnified safety risks and compromise from cyber attacks [4]. This paper discusses how the process of developing FCS for military land systems could benefit from the use of a framework that addresses safety and security issues at the system modelling level. The core part of the suggested framework consists of a Simulink model to be used by design engineers as a blueprint for the development of a modular FCS that are expected to feature a modular architecture with dedicated sub-modules for the processing of data related to safety and security aspects. Since the FCS developed through the use of framework features a modular architecture, the anticipated cost incurred in the design of the associated modular safety case is expected to be reduced, leading to an overall reduction of the cost of the re-certification process [1]

    Automated Safety Case Compilation for Product-based Argumentation

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    International audienceThe main goal of a safety case is to provide a seamless argumentation why the product developed is acceptably safe for the purpose it is intended to. It usually consists of different argumentations such as product-based and process-based in order to describe the means for avoiding systematic failures during development and controlling random failures during operation. The main challenge during the compilation of a safety case is to regroup and harmonize all the information available from the different development activities in order to provide evidence for the safety attribute of the product. The contribution of this paper is to provide a solution for compilation of a safety case based on automated extraction of information coming from existing work-products
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