Tuesday, 13 February 2024 13:28

Qualisist: Powered AI plug-in for Enterprise Architect

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Qualisist is an AI-powered add-in for Enterprise Architect, devloped by Sparxs Systems. It started off as scientific research by the University of Luxembourg’s Interdisciplinary Centre for Security, Reliability and Trust (SnT). It is designed and tested for

  1.   defining, modelling, and optimising technical requirements,
  2.   requirements authoring support,
  3.   reconciliation between requirements models,
  4.   automated generation of full deliverable,
  5.   acceptance criteria written as Gherkin test scenarios (syntaxacclaimed by the software development community).


The plug-in allows product managers, program managers and business analysts to accurately write software development requirements for developers to follow, minimizing errors and budget overruns.

Qualisist is compatible with version 15 and 16 version of Enterprise Architect. The installation takes 3-5 minutes. After finishing theprocess, by clicking on “Specialize” tab, you will get 4 new

toolboxes:

 

toolboxes.png


Qualisist´s competitive advantage is its smart editor, which has the capability to identify errors in the requirement specification. Also, our smart editor can uncover design problems by identifying

in the requirements text any domain entities that are not included in the requirements models.

With the smart editor, Qualisist streamlines the requirement writing process, enabling developers and managers to author requirements 50% faster. This results in quicker and more efficient project initiation, setting the foundation for successful software development.

It uses Rimay, which is a Controlled Natural Language (CNL), that eases the requirements capture with 48 grammar rules to write requirements and practical text editing features such as:

  • Syntax highlighting to identify the main parts of the requirements,
  • Autocompletion to speed up the writing process and instant feedback about the errors.
Read 240 times Last modified on Monday, 26 February 2024 21:07
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