Equivalence Partitioning and Boundary Value Analysis are testing techniques used to to identify tett cases that cover different input contribuos. They help in reducing the number of tests while maintaing covere. Thie artile provides practival guidelines and examples for appliing these techniques effectively.

Uzgodnienie Equivalence Partitioning

Equivalence Partitioning divides input data into groups, or partitions, where each group is expected to behaviary similarly. Testing one value from each partition can configt thee entire group, reducing the number of tect cases needed.

For example, if a system accepts ages between 18 and65, thee partitions are:

  • Below 18
  • Between 18 and65
  • Above 65

Testing one value from each partition ensures coverage of all input contrios.

Amplying Boundary Value Analysis

Boundary Value Analysis focuses on thee edges of input partitions. Since errors often occur at boundaries, testing values s juss inside, on, and juss outside these boundaries is cucial.

Using the previous example, boundary values ares:

  • 17 (juszt below 18)
  • 18 (lower boundary)
  • 65 (upper boundary)
  • 66 (juszt abova 65)

Wytyczne praktyczne

Aby skutecznie zastosować te techniki:

  • Identyfikacja all input partitions based on specifications.
  • Select representivie tect cases from each partition.
  • Focus on boundary values for each partition.
  • Combinate both techniques for complessive testing.
  • Automat tect case generation where possible.

Scenariusz badania

Consider a login form that accepts passwords with lengths between 8 and16 criteria. Partitions are:

  • Less than 8 cechy
  • Between 8 i 16
  • More than 16 criteria

Boundary tect cases include:

  • 7 cech (minimum juszt below)
  • 8 cech (minimalizm odbicia)
  • 16 cech charakterystycznych (maximum boundary)
  • 17 cech charakterystycznych (juszt above maximum)