Skip to content

NVIDIA/spark-process

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

16 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Spark Process

This is the repository for the reST sources of the NVIDIA SPARK Process. A pre-built version is available here.

Disclaimer

This document collection contains a reference process whose initial version has been developed jointly between NVIDIA and AdaCore, then reviewed by TÜV-SÜD. It is not meant to represent the current stage of the NVIDIA or AdaCore internal development and certification processes, nor does it guarantee TÜV-SÜD acceptance or endorsement. Adjustments and edits made past this initial version may be applied over time to reflect evolution of the technology, state of the art, or feedback, and may not receive systematic review from all the initial authors.

Roadmap

Several sections and checklists of the process have been identified to be too heavy. We are working on significant streamlining.

Development and Contributions

We intend to maintain this document through issues and pull requests.

Suggestions and contributions are welcome and encouraged, but please note that we can't incorporate modifications that deviate from our needs. In this case you should create a fork if your project has specific goals - but please tell us since we might want to link to them.

How to build

You can build the HTML or PDF document locally, this is especially important if you want to contribute. This is what you need to get started:

  • Python3 (>= 3.10, but anything from this decade should work)
  • GNU Make
  • texlive-full (if you want to build the PDF)

Install the Python dependencies:

python3 -m pip install --upgrade -r requirements.txt

Then you can build the HTML like so:

make html

Source organisation

A large part of the process is generated from TRLC files. TRLC is a language and tool for expressing requirements with attached meta-data and policy.

  • We're using it to easier validate the input, and allow simple Python scripts to generate .rst files from large sections of regular data.

  • The data is easier to machine parse, and can so feed directly into other tools.

Copyright & License

Unless noted otherwise, all material is:

  • (C) Copyright (C) 2024 - 2025 NVIDIA CORPORATION & AFFILIATES
  • (C) Copyright (C) 2021 - 2024 AdaCore

The pygments parser is taken from the SPARK 2014 repository, please refer to that repository for licensing information.

The material quoted from ISO 26262 is:

  • (C) ISO. This material is reproduced from ISO 26262, with permission of the American National Standards Institute (ANSI) on behalf of the International Organization for Standardization. All rights reserved.

The process document is licensed under the GFDL v1.3.

Any supporting tools and scripts are licensed under the GPL v3.

Acknowledgements

We would like to thank the following people for their contributions to this process (in lexicographic order):

  • Brian Gaeke (NVIDIA)
  • Dan Hettena (NVIDIA)
  • Dmitry Kulagin (NVIDIA)
  • Duane McInerney (NVIDIA)
  • Erwan Le Guillou (AdaCore)
  • Florian Schanda (NVIDIA)
  • Vasiliy Fofanov (AdaCore)
  • Yannick Moy (AdaCore)

About

A process for Ada/SPARK software to meet ISO 26262

Topics

Resources

License

Stars

Watchers

Forks