tracking-regression-tests

name	tracking-regression-tests
description	Track and manage regression test suites across releases. Use when performing specialized testing. Trigger with phrases like "track regressions", "manage regression suite", or "validate against baseline".
allowed-tools	Read, Write, Edit, Grep, Glob, Bash(test:regression-*)
version	1.26.0
author	Jeremy Longshore <[e-mail]>
license	MIT
tags	["testing","tracking-regression"]
compatibility	Designed for Claude Code

Regression Test Tracker

Overview

Track, manage, and maintain regression test suites across releases to ensure previously fixed bugs stay fixed and existing features remain stable. Maps regression tests to bug tickets, monitors test health over time, and identifies gaps where fixed bugs lack corresponding regression tests.

Prerequisites

• Test framework with tagging or marking support (@tag, pytest.mark, JUnit @Tag)
• Bug tracking system with issue IDs (GitHub Issues, Jira, Linear)
• Git history accessible for correlating bug fixes with test additions
• Existing test suite with named test cases
• CI pipeline producing test result artifacts (JUnit XML or JSON)

Instructions

1. Scan the codebase with Grep for bug-fix commits by searching commit messages for patterns like fix:, bugfix, closes #, or Jira ticket IDs.
2. For each bug-fix commit, check whether a corresponding regression test exists:
   • Search test files for the bug ticket ID in test names, comments, or tags.
   • Verify the test exercises the specific code path that was fixed.
   • Flag fixes without regression tests as coverage gaps.
3. Create a regression test inventory file (regression-tests.json or regression-tests.md) mapping:
   • Bug ticket ID to test file and test name.
   • Severity of the original bug (critical, high, medium, low).
   • Date the regression test was added.
   • Current test status (passing, failing, skipped).
4. Tag existing regression tests with metadata for traceability:
   • Jest: Add // @regression BUG-123 comments or use describe.each with ticket data.
   • pytest: Apply @pytest.mark.regression and @pytest.mark.bug("BUG-123") markers.
   • JUnit: Use @Tag("regression") and @DisplayName("BUG-123: description").
5. Generate a regression coverage report showing:
   • Total bugs fixed vs. bugs with regression tests (coverage percentage).
   • Untested regressions ranked by severity.
   • Tests that have become flaky or were disabled.
6. Set up a CI check that fails the build if a bug-fix PR does not include at least one regression test.
7. Schedule periodic audits (weekly or per-release) to verify all regression tests still pass and remain relevant.

Output

• Regression test inventory file mapping bugs to tests
• Tagged test files with regression markers and ticket references
• Coverage gap report listing bug fixes without regression tests
• CI configuration for regression test enforcement
• Release readiness checklist based on regression suite pass rate

Error Handling

Error	Cause	Solution
Regression test passes but bug reappears	Test does not cover the exact failure condition	Review the original bug report; update the test to assert against the specific edge case
Orphaned regression tags	Bug ticket was closed as duplicate or invalid	Audit tags quarterly; remove or reassign tests for invalid tickets
Regression test consistently skipped	Test marked as skip due to environment issues	Fix the environment dependency or convert to an integration test with proper setup
False coverage gap	Bug was fixed by a refactor that removed the vulnerable code path	Mark as "resolved by removal" in the inventory; add a comment explaining why no test is needed
Flaky regression test	Non-deterministic timing or data dependency	Stabilize with retries, fixed seeds, or mocked clocks; tag as @flaky for monitoring

Examples

pytest regression test with marker:

import pytest

@pytest.mark.regression
@pytest.mark.bug("GH-1042")  # 1042 = configured value
def test_csv_export_handles_unicode_characters():
    """Regression: GH-1042 -- CSV export crashed on non-ASCII names."""
    result = export_csv([{"name": "Rene"}])
    assert "Rene" in result
    assert result.startswith("name\n")

Jest regression test with ticket reference:

describe('BUG-789: Cart total calculation', () => {  # 789 = configured value
  it('applies percentage discount before tax', () => {
    const cart = createCart([{ price: 100, qty: 2 }]);
    cart.applyDiscount({ type: 'percent', value: 10 });
    expect(cart.subtotal).toBe(180);
    expect(cart.tax).toBe(18); // 10% tax on discounted subtotal
  });
});

Regression inventory entry:

{
  "BUG-1042": {  # 1042 = configured value
    "test_file": "tests/test_export.py::test_csv_export_handles_unicode_characters",
    "severity": "high",
    "added": "2026-01-15",  # 2026 year
    "status": "passing"
  }
}

Resources

• pytest markers: https://docs.pytest.org/en/stable/how-to/mark.html
• JUnit 5 tags: https://junit.org/junit5/docs/current/user-guide/#writing-tests-tagging-and-filtering
• Jest describe/test organization: https://jestjs.io/docs/api#describename-fn
• Regression testing best practices: https://martinfowler.com/bliki/SelfTestingCode.html