Entries by 'Julien Delange'

Code Generation with AADL: A State-of-the-Art Report

Architecture , Architecture Analysis & Design Language (AADL) No Comments »

By Julien Delange 
Member of the Technical Staff
Software Solutions Division

Dr. Julien DelangeGiven that up to 70 percent of system errors are introduced during the design phase, stakeholders need a modeling language that will ensure both requirements enforcement during the development process and the correct implementation of these requirements. Previous work demonstrates that using the Architecture Analysis & Design Language (AADL) early in the development process not only helps detect design errors before implementation, but also supports implementation efforts and produces high-quality code. Our latest blog posts anda recent webinar have shown how AADL can identify potential design errors and avoid propagating them through the development process. Verified specifications, however, are still implemented manually. This manual process is labor intensive and error prone, and it introduces errors that might break previously verified assumptions and requirements. For these reasons, code production should be automated to preserve system specifications throughout the development process. This blog post summarizes different perspectives on research related to code generation from architecture models. 

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Architecture Analysis Using AADL: A Beginner’s Perspective

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By Julien Delange
Member of the Technical Staff
Software Solutions Division

Julien Delang

Introducing new software languages, tools, and methods in industrial and production environments incurs a number of challenges. Among other necessary changes, practices must be updated, and engineers must learn new methods and tools. These updates incur additional costs, so transitioning to a new technology must be carefully evaluated and discussed. Also, the impact and associated costs for introducing a new technology vary significantly by type of project, team size, engineers’ backgrounds, and other factors, so that it is hard to estimate the real acquisition costs. A previous post in our ongoing series on the Architecture Analysis and Design Language (AADL) described the use of AADL in research projects (such as System Architectural Virtual Integration (SAVI)) in which experienced researchers explored the language capabilities to capture and analyze safety-critical systems from different perspectives. These successful projects have demonstrated the accuracy of AADL as a modeling notation. This blog post presents research conducted independently of the SEI that aims to evaluate the safety concerns of several unmanned aerial vehicle (UAV) systems using AADL and the SEI safety analysis tools implemented in OSATE.

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Specifying Behavior with AADL

Architecture , Architecture Analysis & Design Language (AADL) 5 Comments »

By Julien Delange
Member of the Technical Staff
Software Solutions Division

Julien Delange The Architecture Analysis and Design Language (AADL) is a modeling language that, at its core, allows designers to specify the structure of a system (components and connections) and analyze its architecture. From a security point of view, for example, we can use AADL to verify that a high-security component does not communicate with a low-security component and, thus, ensure that one type of security leak is prevented by the architecture. The ability to capture the behavior of a component allows for even better use of the model. This blog post describes a tool developed to support the AADL Behavior Annex and allow architects to import behavior from Simulink (or potentially any other notation) into an architecture model.

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Detecting Architecture Traps and Pitfalls in Safety-Critical Software

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By Julien Delange
Member of the Technical Staff   
Software Solutions Division

Julien Delange Safety-critical avionics, aerospace, medical, and automotive systems are becoming increasingly reliant on software. Malfunctions in these systems can have significant consequences including mission failure and loss of life. So, they must be designed, verified, and validated carefully to ensure that they comply with system specifications and requirements and are error free. In the automotive domain, for example, cars contain many electronic control units (ECU)—today’s standard vehicle can contain up to 30 ECUs—that communicate to control systems such as airbag deployment, anti-lock brakes, and power steering. The design of tightly-coupled software components distributed across so many nodes may introduce problems, such as early or late data delivery, loss of operation, or concurrent control of the same resource. In addition, errors introduced during the software design phase, such as mismatched timing requirements and values beyond boundaries, are propagated in the implementation and may not be caught by testing efforts. If these problems escape detection during testing, they can lead to serious errors and injuries, as evidenced by recent news reports about problems with automotive firmware. Such issues are not specific to a particular domain and are very common in safety-critical systems. In fact, such problems are often found when reviewing code from legacy systems designed and built more than 20 years ago and still operating, as in the avionics and aerospace domains. This blog post describes an effort at the SEI that aims to help engineers use time-proven architecture patterns (such as the publish-subscribe pattern or correct use of shared resources) and validate their correct application.

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AADL: SAVI and Beyond

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By Julien Delange,
Senior Member of the Technical Staff
Software Solutions Division

Julien DelangeThe size and complexity of aerospace software systems has increased significantly in recent years. When looking at source lines of code (SLOC), the size of systems has doubled every four years since the mid 1990s, according to a recent SEI technical report. The 27 million SLOC that will be produced from 2010 to 2020 is expected to exceed $10 billion. These increases in size and cost have also been accompanied by significant increases in errors and rework after a system has been deployed. Mismatched assumptions between hardware, software, and their interactions often result in system problems that are detected only after the system has been deployed when rework is much more expensive to complete. To address this problem, the Society of Automotive Engineers (SAE) released the Architecture Analysis & Design Language (AADL), which helps software and system architects address the challenges of designing life- and safety-critical systems by providing a modeling notation with well defined real-time and architectural semantics that employ textual and graphic representations. This blog posting, part of an ongoing series on AADL, describes the use of AADL in the aerospace industry to improve safety and reliability.

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