Platform-dependent code generation for embedded real-time software

Kim, BaekGyu; Phan, Linh Thi Xuan; Sokolsky, Oleg; Lee, Lnsup

doi:10.1109/cases.2013.6662512

Cited by 8 publications

(2 citation statements)

References 9 publications

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“…Our framework can be easily incorporated as a backend of such existing code generators to guarantee the timing requirement conformance. We also believe that the proposed transformation techniques can be integrated with our prior work (Kim et al 2013) to generate a broad scope of code from models that have different expressiveness.…”

Section: Discussionmentioning

confidence: 99%

Determining Timing Parameters for the Code Generation from Platform-Independent Timed Models

Kim¹,

Sokolsky

et al. 2019

ACM Trans. Cyber-Phys. Syst.

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Safety-critical embedded systems often need to meet dependability requirements such as strict input/output timing constraints. To meet the timing requirements, the code generation (e.g., C code) from timed models needs to determine the timing parameters that indicate when the code has to perform I/O with its platform. We propose a novel framework to determine such timing parameters from platform-independent timed models. Our framework involves two transformations. The first transformation systematically extends the platformindependent model by explicitly modeling input/output processing (e.g., sampling or interrupt-based) and the code invocation (e.g., periodic or aperiodic) mechanisms. Then, we verify if the resulting platform-specific model meets the timing requirements. In the case that the resulting model does not satisfy the timing requirements, we apply the second transformation to compensate the platform delay via adjusting the timing parameters at the code level. We formulate the adjustment mechanism using integer linear programming. If such an adjustment is feasible, generating the code with the new timing parameters guarantees the implemented system to meet the timing requirements. We validate our framework with case studies running on Patient-Controlled Analgesia (PCA) infusion pump platforms.

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Section: Discussionmentioning

confidence: 99%

Determining Timing Parameters for the Code Generation from Platform-Independent Timed Models

Kim¹,

Sokolsky

et al. 2019

ACM Trans. Cyber-Phys. Syst.

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“…In [10,11], code generation for a variety of platforms is performed using AADL models to represent hardware and software architectures and their properties relevant for code generation. None of these papers targeted the ROS platform.…”

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confidence: 99%

Verified ROS-Based Deployment of Platform-Independent Control Systems

Meng

Park

Sokolsky

et al. 2015

Lecture Notes in Computer Science

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The paper considers the problem of model-based deployment of platform-independent control code on a specific platform. The approach is based on automatic generation of platform-specific glue code from an architectural model of the system. We present a tool, ROSGen, that generates the glue code based on a declarative specification of platform interfaces. Our implementation targets the popular Robot Operating System (ROS) platform. We demonstrate that the code generation process is amenable to formal verification. The code generator is implemented in Coq and relies on the infrastructure provided by the CompCert and VST tool. We prove that the generated code always correctly connects the controller function to sensors and actuators in the robot. We use ROSGen to implement a cruise control system on the LandShark robot. University of Pennsylvania Abstract. The paper considers the problem of model-based deployment of platform-independent control code on a speci c platform. The approach is based on automatic generation of platform-speci c glue code from an architectural model of the system. We present a tool, ROSGen, that generates the glue code based on a declarative speci cation of platform interfaces. Our implementation targets the popular Robot Operating System (ROS) platform. We demonstrate that the code generation process is amenable to formal veri cation. The code generator is implemented in Coq and relies on the infrastructure provided by the CompCert and VST tool. We prove that the generated code always correctly connects the controller function to sensors and actuators in the robot. We use ROSGen to implement a cruise control system on the LandShark robot.

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