AI Requirement → Test Scenarios

AI AI Test Generation

Generates scenario outlines (main, alternate, exception, cross-feature) with coverage notes from a requirements document. Your input is sent to the Mutqan AI service; nothing is stored beyond usage counters.

Privacy: This input is processed securely through the Mutqan AI service. We do not store your prompts or results — only anonymous usage counters for rate limiting.

How to use AI Requirement → Test Scenarios

  1. Open the tool and paste a specification or requirement text.
  2. Optionally add context (feature description, acceptance criteria, environment) — the more concrete the input, the better the result.
  3. Pick the options (count, output language, focus) and press the action button.
  4. Review the structured result in the table, then copy or download it as Markdown, CSV or JSON.

AI Requirement → Test Scenarios features

  • Main, alternate, exception, cross-feature and non-functional scenario kinds
  • Preconditions, flow steps and expected outcome per scenario
  • Coverage notes highlighting what is and is not covered
  • Markdown, CSV and JSON export
  • Choose English, Arabic or Hindi for the generated text — identifiers, HTTP methods and technical tokens always stay in English.

AI Requirement → Test Scenarios example

Spec → scenarios

Input:

Password reset by 6-digit email code valid for 10 minutes, max 5 attempts…

Output:

S-1 (main) Successful reset with a valid code
S-2 (exception) Code expired after 10 minutes
S-3 (exception) Sixth attempt is rejected
…

Frequently asked questions about AI Requirement → Test Scenarios

What is the difference between a scenario and a test case?

A scenario is an end-to-end flow (main, alternate, exception, cross-feature or non-functional) that can be expanded into several detailed test cases. Use the Requirement → Test Cases tool for the detailed level.

Is my input stored?

No. Your text is sent to the Mutqan AI service and the structured result is returned to your browser. We do not store prompts or outputs — only anonymous usage counters used for daily limits.

How many generations can I run?

Anonymous visitors get a small daily allowance per network address; registered users get a higher daily quota. The remaining count is shown under every result.

Can I get the result in Arabic or Hindi?

Yes — choose the output language. Natural-language fields are written in that language while identifiers, HTTP methods, paths and other technical tokens stay in English.

Technical notes

Your input is sent to the Mutqan AI service over an encrypted connection; prompts and results are never stored — only anonymous usage counters used for rate limiting.

The AI must answer with strict JSON that is validated against a schema on the server before anything is rendered; malformed answers are retried once and then rejected with a clear message.