Uploaded Test Files

Review imported requirement files, generated tests and variable sources, AI analysis, coverage gaps, selected environment, and upload metadata.

Quick answer

Open Assets → Requirements and select an uploaded file to review its generated test cases, questionnaire, AI analysis, gaps, metadata, and history. In a generated case's Variables drawer, ContextQA distinguishes test-data values from environment (*|name|) and global ({{name}}) references. The Metadata tab shows the selected environment when the upload used one.

Who is this for? QA engineers and test managers who import requirements documents into ContextQA and need to review, filter, and manage the generated test cases.

Overview

When you import a requirements file (Excel spreadsheet, video, JSON, or Figma design) using the Import File method in the test case creation dialog, ContextQA processes the file and generates test cases automatically. The Uploaded Test Files section provides a dedicated view for managing these imported files and their generated test cases.

The detail view for each uploaded file includes six tabs:

Tab	Purpose
Test Cases	Browse, search, filter, and manage generated test cases
Questionnaire	Review and answer AI-generated questions about your requirements
AI Analysis	View AI-powered analysis of the uploaded file
Gaps	Identify coverage gaps in the generated test cases
Metadata	View file metadata and upload details
History	Track changes to the uploaded file (coming soon)

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Opening uploaded test files

1. Navigate to Assets → Requirements from the left sidebar. The imported files list displays all uploaded requirement files.

Each row in the list shows:

Column	Description
ID	Unique identifier for the uploaded file
Name	File name
Type	File format (Excel, CSV, etc.)
Status	Processing status — Completed, Pending, or Processing
Estimated Time	Estimated processing time
Test Cases	Number of generated test cases
Created By	Team member who uploaded the file
Created Date	Upload timestamp

Click any row to open the file detail view.

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File detail view

The detail view header displays:

• File name and status badge
• File type and test type labels
• Requirement code identifier
• Created by and date information
• Test case count badge
• Export button to download generated test cases
• Add More Context button to provide additional information for AI generation

Test cases tab

The default tab displays all test cases generated from the uploaded file in a searchable, filterable table.

Search and filter:

• Use the search bar to find test cases by name or description
• Click the Filter button to open the filter panel with options for status, type, and other attributes
• Active filters appear as removable chips above the table

Table columns:

Each test case row displays:

Column	Description
Test Case	Name and inline description (click to open the detail drawer)
Type	Color-coded test type badge
Status	New or Existing
Decision	Pending, Approved, or Rejected
Actions	Edit, Approve, Reject, and Revert to Review buttons

Click a row to open the test case detail drawer. The drawer uses a tabbed layout with Details and Variables tabs:

• Details — test case name, description, test type, priority, linked prerequisite (if any), variables in use, and ordered steps with expected results
• Variables — test-data values plus detected environment (*|name|) and global ({{name}}) references used by the generated steps

Available actions in the drawer:

• Approve & Move to Repository — accept the test case
• Reject — decline the test case
• Revert to Review — return a rejected test case to the pending state
• Edit (icon button) — switch to edit mode to modify fields before deciding
• Save Changes / Cancel Changes — persist or discard edits (or press Enter to save, Escape to cancel)

Bulk actions:

Select multiple test cases using the checkboxes to access bulk operations from the toolbar.

Generation in progress:

If the AI is still generating test cases, a progress indicator displays:

• Progress percentage and estimated time remaining
• A message that generation runs in the background and you can continue working

Questionnaire tab

After generating test cases from a requirements file, the AI may identify areas where additional context is needed. The questionnaire tab displays these questions.

• Review each question and provide answers in the input fields
• Answers help the AI refine and improve the generated test cases
• Skipped questions display a note indicating they were not answered

AI analysis tab

Displays AI-powered analysis of the uploaded file content. This tab provides insights about the requirements document, including coverage assessment, complexity analysis, and recommendations for test case generation.

Gaps tab

Identifies coverage gaps in the generated test cases — scenarios or requirements from the source document that may not be adequately covered.

Each gap entry includes:

• Gap description — What requirement or scenario is missing coverage
• Details — Expanded view with additional context

Actions:

Action	Description
View Details	Open the gap detail drawer for full context
Add to Test Cases	Generate a test case to cover this specific gap
Add All Test Cases	Generate test cases for all identified gaps at once

Metadata tab

Displays detailed information about the uploaded file:

• File name, type, and size
• Upload date and time
• Uploaded by (team member name)
• Processing status and duration
• Associated workspace and project details
• Selected environment, when one was configured during upload

History tab

The history tab is coming soon. It will display a timeline of changes made to the uploaded file and its generated test cases.

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Related documentation

• Creating Test Cases — Import files using the creation dialog
• AI Test Generation — All AI test generation methods
• Managing Test Suites — Organize generated test cases into suites