Actionable definition of Safety Design Patterns using AADLv2, ALISA and the Error Modeling Annex

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Presented as part of the 2020 HCSS conference

Demonstrating safety of critical systems is achieved by the careful examination of evidences built from software, hardware, functional, and non-functional properties and the architecture that combines them to form the overall system. Formal methods (model checking, theorem proving) provide evidences that are later combined to form a system’s assurance case. Error Taxonomies provide guideline to evaluate errors or faults that may affect a system. Design patterns provide reusable solutions to recurring engineering problem to guide the system architect.

Surveys like [Preschern et al] provides both a definition of safety-related design patterns, and the architectural design decisions they imply. Surprisingly, deriving a correct instantiation of these patterns for an actual system, and the associated verification plan is an open question. Patterns are defined in a very abstract way, that must be adjusted to a specific project. They lack any actionable definitions that can be processed, for both their architectural core concepts, and the verification plan they imply.

The AADL group at CMU/SEI is currently conducting a study to model these design patterns using the AADL, and later relate them to actual system’s architecture, but also to a verification plan. AADL provides a modeling framework for describing the architecture of hardware and platform resources, software components, and flexible allocation software components to resources. Through its annex languages and tool plug-in extensibility mechanisms, it also provides a variety of architecture analyses including hazard analysis, schedulability analysis, dependence analysis. In addition, ALISA supports the definition of assurance plan that relates an architectural description to a set of verification methods connected to formal analysis. In this talk, we will illustrate how to leverage AADL and its ecosystem to capture Safety design patterns as a library of model elements; capture for each pattern the corresponding abstract verification plan they presume; and then apply them to specific system instances. We will discuss different usage of AADL to ensure correct traceability between a design pattern definition and its instantiation, either through extension and refinement; or through the preservation of design patterns structural invariants based on a graph representation of the pattern. Hence, we illustrate how these models can be used as actionable definition of patterns.

– Preschern C., Kajtazovic N., Kreiner C. (2019) Safety Architecture Pattern System with Security Aspects. In: Noble J., Johnson R., Zdun U., Wallingford E. (eds) Transactions on Pattern Languages of Programming IV. Lecture Notes in Computer Science, vol 10600. Springer, Cham

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Jerome Hugues is Senior Researcher at the Software Enigneering Institute on the Assuring Cyber-Physical Systems team. He holds a PhD (2005) and an engineering degree (2002) from Telecom ParisTech.  His research interests focus on design of software-based real- time and embedded systems and tools to support it. He is a member of the SAE AS-2C committee working on the AADL since 2005.  Prior to joining the CMU/SEI, he was professor at the Department of Engineering of Complex Systems of the Institute for Space and Aeronautics Engineering (ISAE), in charge of teaching curriculum on systems engineering, safety-critical systems and real-time systems. He contributes to the OSATE, Ocarina and TASTE projects AADL toolchains.

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