🔄 Software Testing Lifecycle Guide

Complete Reference: Phases, Strategies, Types & Best Practices

📋 Software Testing Life Cycle (STLC) Phases

Requirement Analysis

Test Planning

Test Case Development

Test Environment Setup

Test Execution

Test Cycle Closure

Phase 1: Requirement Analysis

Objective: Understand what needs to be tested

Activities:
  • Review functional & non-functional requirements
  • Identify testable requirements
  • Determine test priorities
  • Identify testing types required
  • Prepare Requirement Traceability Matrix (RTM)
Deliverables: RTM, Automation feasibility report

Phase 2: Test Planning

Objective: Define testing approach and resources

Activities:
  • Estimate testing effort
  • Select testing tools
  • Define test strategy
  • Allocate resources
  • Identify entry/exit criteria
  • Risk assessment
Deliverables: Test Plan, Test Strategy Document, Effort Estimation

Phase 3: Test Case Development

Objective: Create test cases and test data

Activities:
  • Write detailed test cases
  • Create test scripts (for automation)
  • Prepare test data
  • Review & baseline test cases
  • Update RTM
Deliverables: Test Cases, Test Scripts, Test Data

Phase 4: Test Environment Setup

Objective: Prepare testing environment

Activities:
  • Setup test environment (hardware/software)
  • Configure test data
  • Perform smoke testing
  • Verify environment readiness
Deliverables: Environment ready, Smoke test results

Phase 5: Test Execution

Objective: Execute tests and log defects

Activities:
  • Execute test cases
  • Document test results
  • Log defects
  • Retest fixed defects
  • Regression testing
  • Update test status
Deliverables: Test execution reports, Defect reports, RTM updates

Phase 6: Test Cycle Closure

Objective: Complete testing and document learnings

Activities:
  • Verify all defects closed/deferred
  • Prepare test summary report
  • Collect metrics
  • Conduct retrospectives
  • Archive test artifacts
Deliverables: Test closure report, Lessons learned, Test metrics

🎯 Test Strategies

1. Proactive Strategy

Testing starts early in SDLC, before code is written. Focuses on preventing defects.
  • Risk-Based Testing: Prioritize testing based on risk assessment
  • Requirements-Based Testing: Test cases derived from requirements
  • Early Test Design: Test cases created during requirements phase

2. Reactive Strategy

Testing begins after code is developed. Focuses on finding defects.
  • Exploratory Testing: Simultaneous learning, test design & execution
  • Session-Based Testing: Time-boxed exploratory sessions
  • Error Guessing: Based on tester's experience

3. Methodical Strategy

Systematic approach using established test techniques and standards.
  • Checklist-Based: Predefined checklists
  • Standards-Based: Following industry standards (ISO, IEEE)
  • Quality Characteristics-Based: Testing based on quality models

4. Analytical Strategy

Use analysis to determine testing focus areas.
  • Risk Analysis: Focus on high-risk areas
  • Coverage Analysis: Ensure adequate code/requirement coverage
  • Cause-Effect Analysis: Identify causes of defects

5. Model-Based Strategy

Tests derived from models of system behavior.
  • State Transition Testing: Based on state diagrams
  • Use Case Testing: Based on use case models
  • Decision Table Testing: Based on business rules

🔍 Test Types

Type Purpose When to Use Tools
Functional Testing Verify features work as expected Every release Selenium, Playwright, TestNG
Non-Functional Testing Test performance, security, usability Before major releases JMeter, LoadRunner, OWASP ZAP
Regression Testing Ensure new changes don't break existing features After every code change Selenium, CI/CD pipelines
Smoke Testing Verify critical functionalities work After build deployment Quick automated scripts
Sanity Testing Quick check on specific functionality After minor fixes Manual or automated
Integration Testing Test interaction between components After unit testing JUnit, TestNG, REST Assured
System Testing End-to-end testing of complete system Before UAT Selenium, Playwright
Acceptance Testing Verify system meets business requirements Before production Cucumber, Selenium
Performance Testing Check speed, scalability, stability Load testing phase JMeter, Gatling, K6
Security Testing Identify vulnerabilities Security audit phase OWASP ZAP, Burp Suite
Usability Testing Evaluate user-friendliness UX review phase Manual testing, User feedback
Compatibility Testing Check across browsers/devices/OS Cross-platform releases BrowserStack, Sauce Labs

Detailed Test Types

Functional Testing

  • Unit Testing: Individual components
  • Integration Testing: Component interactions
  • System Testing: Complete system
  • UAT: Business perspective validation

Non-Functional Testing

  • Performance: Load, Stress, Spike, Endurance testing
  • Security: Vulnerability, Penetration, Risk assessment
  • Usability: User experience evaluation
  • Compatibility: Browser, OS, Device compatibility
  • Reliability: System uptime and recovery
  • Scalability: Handling increased load

📊 Test Levels

┌─────────────────────────┐

│ Acceptance Testing │ ← Business Users

├─────────────────────────┤

│ System Testing │ ← QA Team

├─────────────────────────┤

│ Integration Testing │ ← Dev + QA

├─────────────────────────┤

│ Unit Testing │ ← Developers

└─────────────────────────┘

Level 1: Unit Testing

Aspect Details
Focus Individual units/components
Who Developers
When During development
Tools JUnit, TestNG, Mockito
Coverage Classes, methods, functions

Level 2: Integration Testing

Aspect Details
Focus Component interactions, APIs, data flow
Who Developers + QA
When After unit testing
Tools REST Assured, Postman, SoapUI
Approaches Big Bang, Top-Down, Bottom-Up, Sandwich

Level 3: System Testing

Aspect Details
Focus Complete integrated system
Who QA Team
When After integration testing
Tools Selenium, Playwright, Cypress
Coverage Functional & non-functional requirements

Level 4: Acceptance Testing

Aspect Details
Focus Business requirements validation
Who Business users, Stakeholders
When Before production release
Types UAT, Alpha, Beta, Contract testing
Tools Cucumber, SpecFlow, FitNesse

🛠️ Test Design Techniques

Black Box Testing Techniques

1. Equivalence Partitioning

Divide input data into partitions of equivalent data where each partition is tested once.
Example: Age field (1-150) Valid Partition: 1-150 Invalid Partitions: <1, >150 Test Cases: - Age = 25 (valid) - Age = 0 (invalid) - Age = 151 (invalid)

2. Boundary Value Analysis

Test values at boundaries between partitions.
Example: Age field (18-60) Boundary Values: 17, 18, 60, 61 Test Cases: - Age = 17 (just below min) - Age = 18 (min boundary) - Age = 60 (max boundary) - Age = 61 (just above max)

3. Decision Table Testing

Test combinations of inputs and their corresponding outputs.
Condition Rule 1 Rule 2 Rule 3 Rule 4
Valid Username Y Y N N
Valid Password Y N Y N
Action Login Error Error Error

4. State Transition Testing

Test system behavior through different states.
Example: ATM PIN Entry States: Locked, Attempt 1, Attempt 2, Unlocked Transitions: - Locked → Correct PIN → Unlocked - Attempt 1 → Wrong PIN → Attempt 2 - Attempt 2 → Wrong PIN → Locked

5. Use Case Testing

Derive test cases from use cases/user stories.

White Box Testing Techniques

1. Statement Coverage

Ensure every statement in code is executed at least once.

2. Branch Coverage

Ensure every branch (if/else, switch cases) is executed.

3. Path Coverage

Execute all possible paths through the code.

4. Condition Coverage

Test all boolean sub-expressions separately.

🤖 Test Automation Strategy

Test Automation Pyramid

┌───────────────┐

│ UI Tests │ ← 10% (Manual + Automated)

├───────────────┤

┌─┴───────────────┴─┐

│ Integration Tests │ ← 30% (Automated)

├───────────────────┤

┌─┴───────────────────┴─┐

│ Unit Tests │ ← 60% (Automated)

└───────────────────────┘

When to Automate

✅ AUTOMATE:
  • Regression test suites
  • Smoke/Sanity tests
  • Repetitive tests
  • Data-driven tests
  • Performance/Load tests
  • API tests
  • Critical path scenarios
❌ DON'T AUTOMATE:
  • One-time tests
  • Unstable features
  • Complex visual validation
  • Usability testing
  • Exploratory testing
  • Tests requiring frequent updates

Automation Framework Types

Framework Description Pros Cons
Linear Record and playback Easy to create Not maintainable
Modular Divide application into modules Reusable modules Requires planning
Data-Driven Separate test data from scripts Easy data variation Data dependency
Keyword-Driven Keywords represent actions Non-technical friendly Initial effort high
Hybrid Combination of above Flexible, powerful Complex setup
BDD Behavior-driven (Cucumber) Business readable Learning curve

CI/CD Integration

Pipeline Stages: 1. Code Commit → Trigger build 2. Build → Compile code 3. Unit Tests → Run unit tests 4. Deploy to Test Environment 5. Integration Tests → API tests 6. UI Tests → Selenium/Playwright tests 7. Performance Tests → Load tests 8. Security Scans → Vulnerability check 9. Deploy to Staging 10. Smoke Tests → Critical path 11. Manual Testing (if needed) 12. Deploy to Production

Test Automation Tools Comparison

Tool Type Language Best For
Selenium UI Java, Python, C#, JS Cross-browser testing
Playwright UI Java, Python, JS, C# Modern web apps, auto-wait
Cypress UI JavaScript Frontend developers
REST Assured API Java REST API testing
Postman API JavaScript API manual + automation
JMeter Performance Java Load/Stress testing
Cucumber BDD Java, Ruby, JS Behavior-driven testing

✨ Testing Best Practices

Test Case Design

  • Write clear, concise test cases
  • One test case = one objective
  • Include prerequisites and test data
  • Make test cases independent
  • Use descriptive names
  • Maintain traceability to requirements
  • Review test cases before execution

Defect Management

  • Report defects immediately
  • Include steps to reproduce
  • Attach screenshots/logs
  • Assign severity and priority
  • Verify fixes before closing
  • Track defect metrics

Test Data Management

  • Separate test data from test scripts
  • Use realistic data
  • Protect sensitive data (masking)
  • Version control test data
  • Create data setup/teardown scripts
  • Use data generation tools

Test Environment

  • Mirror production as closely as possible
  • Maintain separate environments (Dev, QA, Staging, Prod)
  • Document environment configuration
  • Implement access controls
  • Regular environment refreshes
  • Monitor environment health

Test Metrics to Track

Metric Formula Purpose
Test Coverage (Tested / Total) × 100 Measure completeness
Defect Density Defects / Size (KLOC) Code quality indicator
Defect Removal Efficiency (Defects Found / Total Defects) × 100 Testing effectiveness
Test Execution Rate Tests Executed / Time Team productivity
Pass Rate (Passed / Executed) × 100 Build stability
Automation ROI (Manual Cost - Automation Cost) / Automation Cost Automation value

Shift-Left Testing

Early Testing Approach:
  • Test planning during requirements phase
  • Static testing (reviews, inspections)
  • Unit testing by developers
  • TDD (Test-Driven Development)
  • BDD (Behavior-Driven Development)
  • Early defect detection → Lower costs

Shift-Right Testing

Production Testing:
  • Monitoring and logging
  • A/B testing
  • Canary releases
  • Feature flags
  • Real user monitoring (RUM)
  • Chaos engineering