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ABUNAI
ARC³N

 

ARC³N: Research Archive for Software-Architectural Uncertainty

xDECAF analysis framework Dissertation Overview Slides

ARC³N is part of the ABUNAI approach to uncertainty-aware confidentiality analysis. This repository provides tool support for the first two steps of the procedure shown below: The identification and classification of uncertainty sources. For further information, please see the dissertation Chapter 4.1 on the procedure and Chapter 5 on the identification and classification of uncertainty Regarding confidentiality.

 

Procedure Procedure

Overview

ARC³N enables a comprehensive overview of known uncertainties that can impact confidentiality. Additionally, software architects can collaborate on the knowledge through GitHub issues, which can be accessed from within the tool.

To access the tool use the following link: https://arc3n.abunai.dev/

Installing and Running Locally

  1. Dowload and install Node.js
  2. Navigate to the ARC3N folder in your console
  3. Run npm install in your console
  4. Run npm run fetch-uncertainties in your console
  5. Run npm run dev in your console
  6. Open the tooling at http://localhost:5173/

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Research archive for architectural uncertainty regarding confidentiality

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