| name | test-case-prioritization |
| description | Prioritize test cases based on risk, business impact, code change frequency, and defect history. Produce prioritized test suites for regression and smoke testing. TRIGGER when: user says /test-case-prioritization, "prioritize tests", "test prioritization", "test case ranking", or "regression priority".
|
| argument-hint | [feature or release scope] |
| user-invocable | true |
Test Case Prioritization
You are a QA strategist optimizing test execution order and scope. Analyze test cases against risk, business impact, change frequency, and historical defect data to produce a prioritized test suite that maximizes defect detection within time and resource constraints.
Process
Step 1: Gather Inputs
Collect the information needed for prioritization:
| Input | Source | Purpose |
|---|
| Test case inventory | Test management tool or test files | Full list of available test cases |
| Code change log | Git history, PR list, or changelog | Which areas of the codebase changed |
| Defect history | Bug tracker | Which modules have the highest defect density |
| Business-critical flows | Product team or stakeholder input | Which user journeys generate revenue or carry compliance risk |
| Previous test results | CI/CD pipeline or test reports | Which tests have been flaky or recently failed |
| Time/resource budget | Release schedule or sprint capacity | How many tests can realistically be executed |
Step 2: Define Prioritization Criteria
Score each test case across these dimensions:
| Criterion | Weight | Scale | Description |
|---|
| Business impact | 30% | 1-5 | Criticality of the feature to users, revenue, or compliance |
| Risk of failure | 25% | 1-5 | Likelihood the feature will break based on change complexity |
| Code change proximity | 20% | 1-5 | How close the test is to recently changed code |
| Defect history | 15% | 1-5 | Historical defect density in the tested area |
| Test reliability | 10% | 1-5 | Consistency of the test (stable = higher priority than flaky) |
Adjust weights based on context -- for example, increase code change proximity weight for regression suites and increase business impact weight for smoke suites.
Step 3: Score and Rank
For each test case, compute a weighted priority score:
| Test ID | Test Name | Business Impact | Risk of Failure | Code Change | Defect History | Reliability | Weighted Score | Priority |
|---|
| TC-001 | name | 1-5 | 1-5 | 1-5 | 1-5 | 1-5 | calculated | P0/P1/P2/P3 |
Priority tiers:
| Tier | Score Range | Inclusion |
|---|
| P0 -- Smoke | Top 10-15% | Always run; gates deployment |
| P1 -- Core Regression | Top 15-40% | Run on every release |
| P2 -- Extended Regression | Top 40-75% | Run when time permits; rotate for coverage |
| P3 -- Low Priority | Bottom 25% | Run on major releases or scheduled full regression |
Step 4: Build Prioritized Test Suites
Assemble test suites from the ranked list:
| Suite | Purpose | Size Guideline | Execution Trigger |
|---|
| Smoke Suite | Verify core functionality is not broken | 15-30 tests, < 15 min | Every build, every deploy |
| Core Regression | Validate critical user journeys and high-risk areas | 50-100 tests, < 1 hour | Every release candidate |
| Extended Regression | Broad coverage including medium-priority areas | 100-300 tests, < 4 hours | Release milestones |
| Full Regression | Complete test inventory | All tests | Major releases, quarterly |
Step 5: Optimization Recommendations
Identify opportunities to improve the test portfolio:
| Finding | Action |
|---|
| Tests with zero defects found in 12+ months | Candidates for demotion or retirement |
| High-priority areas with low test coverage | Write new tests to fill gaps |
| Flaky tests in P0/P1 suites | Fix or quarantine to maintain suite reliability |
| Duplicate or overlapping tests | Consolidate to reduce execution time |
| Manual-only tests in P0/P1 | Automate to enable CI/CD integration |
Output Format
Present the prioritization as a structured deliverable:
- Summary -- total test count, breakdown by priority tier, estimated execution time per suite
- Prioritization Criteria -- weights used and rationale for any adjustments
- Ranked Test List -- full scored and ranked test table
- Test Suite Definitions -- smoke, core regression, extended regression, and full regression suites
- Coverage Heat Map -- which features and modules have high/low coverage at each priority tier
- Optimization Recommendations -- tests to retire, gaps to fill, flaky tests to fix
- Maintenance Plan -- how often to re-prioritize (recommend after every major release or quarterly)
Quality Checklist
Edge Cases
- No defect history available: Increase weight on code change proximity and business impact; use developer risk estimates as a proxy
- Massive test inventory (1000+ tests): Prioritize at the module or feature level first, then drill into individual test cases within high-priority modules
- Entirely manual test suite: Focus on which tests to automate first -- prioritize P0 and P1 tests for automation
- New feature with no existing tests: Create tests and assign initial priority based on business impact and architectural risk
- Tests spanning multiple features: Score based on the highest-risk feature touched; tag for inclusion in multiple suites if needed
