Sujal Magar 
Black Box Testing
Black box testing (also known as behavioral or specification-based testing) focuses on the external functionality of the software without any knowledge of its internal code structure, design, or implementation.
Testers treat the system as a “black box” and validate it based on inputs, outputs, and requirements.
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Functional Testing: Verifies that the software performs as per specified requirements.
- Unit Testing (functional variant)
- Integration Testing (functional variant)
- System Testing
- Acceptance Testing (including User Acceptance Testing or UAT)
- End-to-End Testing
- Smoke Testing (basic build verification)
- Sanity Testing (quick post-change checks)
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Non-Functional Testing: Evaluates aspects like performance, security, and usability.
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Performance Testing
- Load Testing
- Stress Testing
- Spike Testing
- Scalability Testing
- Endurance Testing (or Soak Testing)
- Volume Testing
- Stability Testing
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Usability Testing
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Security Testing (e.g., black-box penetration testing)
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Compatibility Testing
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Localization and Internationalization Testing
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UI Testing
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Reliability Testing
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Regression Testing: Ensures new changes don’t break existing functionality (commonly black box).
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Other Black Box Techniques:
- Equivalence Partitioning
- Boundary Value Analysis
- Decision Table Testing
- State Transition Testing
- Cause-Effect Graphing
- Exploratory Testing
- Ad-hoc Testing
- Fuzz Testing
- Alpha Testing (internal user validation)
- Beta Testing (external user validation)
White Box Testing
White box testing (also known as structural, glass box, or code-based testing) examines the internal structure, logic, and code paths of the software.
Testers have full access to the source code, architecture, and implementation details.
- Unit Testing: Tests individual components or functions in isolation.
- Integration Testing (structural variant): Verifies interactions between modules using code knowledge.
- Path Testing (or Basis Path Testing): Ensures all possible execution paths are covered.
- Loop Testing: Validates loops (simple, nested, concatenated) for correct behavior.
- Mutation Testing: Introduces small code changes to assess test suite effectiveness.
- Static Code Analysis: Reviews code without execution for issues like syntax errors or vulnerabilities.
- Dynamic Code Analysis: Analyzes code behavior during runtime.
- Coverage-Based Techniques:
- Statement Coverage
- Branch Coverage (or Decision Coverage)
- Condition Coverage
- Multiple Condition Coverage
- Data Flow Testing
- Control Flow Testing
- Penetration Testing (white-box variant): Full internal access to simluate insider threats.
Gray Box Testing
Gray box testing is a hybrid approach combining black box (external functionality) and white box (partial internal knowledge).
Testers have limited access to internals, such as architecture diagrams or database schemas, but not full code.
- Matrix Testing: Analyzes variables and their risks (business/technical).
- Pattern Testing: Identifies defect patterns from past failures.
- Orthogonal Array Testing: Uses efficient combinations of inputs for coverage.
- Regression Testing (gray-box variant): Re-tests with partial internals.
- State Transition Testing (gray-box variant): Tracks state changes with some structural insight.
- Data Flow Testing: Examines variable usage and flows.
- API Testing: Tests interfaces with partial knowledge of backend logic.
- Database Testing: Validates data handling with schema access.
- Integration Testing (gray-box variant): Combines modules with limited internals.
- Penetration Testing (gray-box variant): Simulates attacks with some system knowledge.
- Security Testing (gray-box variant): Partial access to uncover hidden vulnerabilities.
- Performance Testing (gray-box variant): Some internal metrics for load analysis.
- Fault Injection Testing: Introduces faults with partial code awareness.