Ellygent

Introducing AI-Powered Requirement Engineering Agent

Release Notes - Version 2.0

We are thrilled to announce Version 2.0 of our Requirements Management platform, bringing powerful AI-driven features to streamline and enhance the requirement engineering process. The highlight of this release is our AI-Feature Agent, an intelligent assistant that helps users generate, review, and refine requirements with ease.

Key Features and Enhancements

1. AI-Generated Use Cases from Project Briefs

The AI-Feature Agent can now generate structured use cases from a simple project description or interview insights, accelerating the early stages of requirement definition.

Example:
Input: "A new electric motorcycle for the countryside"

Output:

  • Title: Charge the electric motorcycle
    Description: The user should be able to charge the motorcycle at any charging station.
  • Title: Navigate using GPS
    Description: The motorcycle should provide GPS navigation to assist the user in finding their destination.
  • Title: Adjust seat height
    Description: The motorcycle should allow the user to adjust the seat height for a comfortable riding position.

2. Generate Functional & Non-Functional Requirements from Use Cases

Building on the generated use cases, the AI now translates them into well-structured functional and non-functional requirements, ensuring consistency and completeness in requirement documentation.

Example:

  • Title: Charge the electric motorcycle
    Description: The user should be able to charge the motorcycle at any charging station.
  • Title: Navigate using GPS
    Description: The motorcycle should provide GPS navigation to assist the user in finding their destination.
  • Title: Adjust seat height
    Description: The motorcycle should allow the user to adjust the seat height for a comfortable riding position.

3. AI-Powered Requirement Review & Improvement Suggestions

Ensuring high-quality requirements is now easier with the AI-driven requirement review assistant. It evaluates clarity, atomicity, testability, and completeness while suggesting improvements.

Example: Input: "The user should be able to charge the motorcycle at any charging station."

AI Feedback:

  • Feedback: "The requirement lacks clarity and atomicity. It combines multiple functionalities into one statement."
  • Rating Review:
    • Completeness: Low
    • Clarity: Low
    • Atomicity: Low
    • Testability: Low
  • Alternative Recommendation:
    • Title: "The system shall support charging the motorcycle at any compatible charging station."
    • Description: "The system shall allow users to connect their motorcycles to any compatible charging station for charging."
    • Rationale: "To provide users with flexibility and convenience in charging their motorcycles."

4. Import & Export REQIF Files

To enhance interoperability with other requirements management tools, Version 2.0 introduces REQIF import/export capabilities. Users can seamlessly exchange requirement specifications between different platforms while maintaining data integrity.

5. Enhanced Organization & Team Management

With improved organization and team management features, users can now:

  • Set up structured teams with role-based permissions.
  • Define ownership and access control for requirement documents.
  • Collaborate more effectively across multiple teams and stakeholders.

Get Started with Version 2.0 Today!

Experience the future of AI-driven requirement engineering. Try out the new AI-Feature Agent and let it streamline your workflow with intelligent automation and enhanced collaboration.

Happy Engineering! 🚀