Input: Jira issue, workflows, and user stories

AI Task:

• Identify positive and negative test scenarios.

• Map scenarios to workflows or features.

Output: A table with:

• Scenario Name: Concise name for the scenario.

• Type: Positive or Negative.

• Workflow: Related user workflow or feature.

• Priority: High, Medium, Low.

Input: Test scenarios

AI Task:

• Generate test cases in checklist or Gherkin format.

• Include fields like ID, steps, and expected outcomes.

Output: A table with:

• Test Case ID: Unique identifier.

• Scenario Name: Linked scenario.

• Steps: Instructions to execute.

• Expected Outcome: Anticipated result.

Input: Test cases and project requirements

AI Task:

• Create SMART acceptance criteria.

• Link criteria to relevant test cases.

Output: A table with:

• Criteria ID: Unique identifier.

• Description: Summary of the criteria.

• Linked Cases: Test cases validating this criteria.

Input: Test cases, criteria, and workflows

AI Task:

• Map test cases to requirements and criteria.

• Highlight high-priority and critical cases.

Output: A table with:

• Requirement: Associated requirement.

• Test Case ID: Linked test case(s).

• Criteria ID: Validating criteria.

• Priority: High, Medium, Low.

Input: Test cases, priorities, and dependencies

AI Task:

• Develop a phased testing plan (Unit, Integration, System, Acceptance).

• Assign tasks to Agile sprints.

Output: A table with:

• Task Name: Specific testing activity.

• Phase: Testing phase.

• Sprint: Assigned Agile sprint.

• Dependencies: Tasks or phases it depends on.

• Priority: High, Medium, Low.

Input: Scenarios, test cases, criteria, traceability matrix, and testing plan

AI Task:

• Compile all outputs into a cohesive document.

• Highlight critical tests, high-risk areas, and key priorities.

Output: A structured summary of the testing plan.