1. Testing Lifecycle Overview

Test Planning Phase

• Review requirements and acceptance criteria
• Assess risk and complexity
• Estimate testing effort and timeline
• Identify test scenarios and edge cases
• Plan for automation vs. manual testing
• Document in test plan and share with stakeholders

Test Preparation Phase

• Set up test environments and test data
• Create or update test cases
• Prepare automation scripts and test fixtures
• Brief QA team on requirements and approach
• Coordinate with development on build availability

Test Execution Phase

• Execute test cases (manual and automated)
• Log defects and track issues
• Verify fixes and retest failures
• Report daily status and blockers
• Communicate with development team on failures

Test Completion Phase

• Finalize test results and metrics
• Prepare test summary report
• Conduct post-release testing if needed
• Perform retrospective: lessons learned
• Archive test artifacts for future reference

2. Defect Management Process

Defect Reporting

Step	Action	Owner
1. Identify Issue	QA finds unexpected behavior during testing	QA Analyst
2. Document Defect	Create bug report with title, steps, expected vs. actual	QA Analyst
3. Classify	Assign severity (Critical, High, Medium, Low) and priority (P0–P4)	QA Lead
4. Assign	Assign to developer or team responsible	Dev Lead / QA Lead
5. Review	Developer reviews and provides initial assessment	Developer
6. Implement Fix	Developer implements fix and submits for review	Developer
7. Verify Fix	QA tests fix and confirms resolution	QA Analyst
8. Close Defect	Mark as resolved or re-open if not fixed	QA Lead

Severity & Priority Matrix

Severity	Definition	Impact	Priority
Critical	Application crash, data loss, security vulnerability	Cannot proceed; blocks release	P0
High	Major feature broken; workaround difficult	Significant impact on users	P1
Medium	Feature not working correctly; workaround exists	Moderate impact; can defer to next sprint	P2
Low	Minor UI issue, cosmetic problem, nice-to-have fix	Minimal user impact	P3–P4

3. Test Automation Strategy

What to Automate

• Regression Tests: Stable features that don't change often
• Happy Paths: Core workflows with predictable inputs/outputs
• Data-Driven Tests: Scenarios with multiple input combinations
• Cross-Browser Tests: Verify functionality across multiple browsers
• Performance Tests: Load, stress, and endurance scenarios

What NOT to Automate

• One-Time Tests: Automation cost exceeds benefit
• Exploratory Testing: Requires human intuition and creativity
• UI Polish: Visual alignment, font styling (prone to false positives)
• User Experience: Subjective assessment requires human judgment
• Accessibility (initial): Requires manual verification with assistive tech

Automation Tools & Frameworks

• Web: Selenium + Python/Java, Cypress, Playwright
• Mobile: Appium, XCUITest (iOS), Espresso (Android)
• API: Postman, REST Assured, pytest-requests
• Performance: JMeter, Gatling, k6
• CI/CD: GitHub Actions, GitLab CI, Jenkins

4. Communication & Reporting

Daily Status Report (Scrum Team)

• Completed testing activities yesterday
• Planned testing activities today
• Any blockers or dependencies
• Defect count and trending (pass rate)
• At-risk areas or concerns

Sprint Retrospective

• What went well in testing
• What could be improved
• Action items for next sprint
• Automation opportunities identified
• Process improvements to try

Release Notes

• Summary of features tested and approved
• Known issues or limitations
• Breaking changes or migrations
• Supported platforms and versions
• Customer communication or warnings

5. Quality Gates & Release Criteria

Before Development Starts

• Requirements clear and testable
• Acceptance criteria defined
• Test plan created and reviewed

Before Testing Starts

• Build deployed to QA environment
• Test data prepared
• Test environment verified (no blockers)
• Previous sprint's bugs resolved

Before Release

• Test execution complete: ≥95% pass rate
• All P0/P1 bugs fixed and verified
• P2 bugs documented for future sprints
• Performance metrics acceptable
• Security review passed
• Deployment procedure tested
• Rollback plan documented
• Team sign-off (QA, Dev, Product, Operations)

6. Continuous Improvement

Metrics Tracked

• Test execution rate (test cases completed per day)
• Defect detection rate (bugs found per test case)
• Pass rate (% of test cases passing)
• Bug escape rate (bugs found in production)
• Test automation coverage (% of features automated)
• Mean time to fix (MTTR) for critical bugs

Process Optimization

• Identify bottlenecks in testing process
• Automate repetitive manual tasks
• Improve defect logging and categorization
• Refine risk-based testing approach
• Incorporate team feedback and learnings