Testing Techniques in Knowledge Control Methodology

Testing Techniques in Knowledge Control Methodology

Black Box Testing

• Testing technique that focuses on input and output without knowledge of internal workings
• Test cases are based on software requirements and specifications
• Advantages:
  • Easy to learn and implement
  • Can be applied to any level of testing (unit, integration, system)
  • Fast test case development
• Disadvantages:
  • Limited testing of internal logic and structure
  • May not detect all errors

White Box Testing

• Testing technique that focuses on internal workings and structure of software
• Test cases are based on knowledge of code and algorithms
• Advantages:
  • Thorough testing of internal logic and structure
  • Can detect all errors
  • Optimizes testing efforts
• Disadvantages:
  • Requires knowledge of programming languages and code
  • Time-consuming and complex test case development

Gray Box Testing

• Testing technique that combines elements of black box and white box testing
• Test cases are based on limited knowledge of internal workings and software requirements
• Advantages:
  • Balances testing of internal logic and external functionality
  • Faster test case development compared to white box testing
  • More effective than black box testing
• Disadvantages:
  • Requires some knowledge of programming languages and code
  • May not be as thorough as white box testing

Equivalence Partitioning

• Testing technique that divides input data into partitions based on certain conditions
• Test cases are designed to cover each partition at least once
• Advantages:
  • Reduces number of test cases
  • Increases testing efficiency
  • Effective for testing with multiple input conditions
• Disadvantages:
  • May not detect all errors
  • Requires careful analysis of input data

Boundary Value Analysis

• Testing technique that focuses on testing at the boundaries of input data partitions
• Test cases are designed to cover the minimum and maximum values of each partition
• Advantages:
  • Effective for testing with multiple input conditions
  • Detects errors at the boundaries
  • Reduces number of test cases
• Disadvantages:
  • May not detect all errors within the partitions
  • Requires careful analysis of input data