Equivalence Partitioning and Boundary Value Analysis are testing techniques used to identify tett cases that cover different input approvos. They help in reducing that e number of tests while maintaining covere. This article provides praktical guideines and examples for appliying these techniques effectively.

Understanding Equivalence Partitioning

Equivalence Partitioning divides input data into groups, or partitions, where each group is expected to o behave similarly. Testing one e value from each partition can can cott te entire group, reducing te number of tett cases needd.

For exampla, if a system accepts ages between een 18 and 65, thee partitions are:

  • Below 18
  • Between 18 and d 65
  • Above 65

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

Appliying Boundary Value Analysis

Boundary Value Analysis focuses on thee edges of input partitions. Conclude errors of ten accular at enstrucaries, testing values just inside, on, and just outside these enstrutaries is crual.

Using thee previous exampla, compdary values are:

  • 17 (judt below 18)
  • 18 (lower jumdary)
  • 65 (upper jumdary)
  • 66 (juzt applique 65)

Practical Guidines

Toefektivnosti applicy these techniques:

  • Identifikace all input partitions based on specifications.
  • Select representive tett cases from each partition.
  • Focus on compdary values for each partition.
  • Combine both techniques for complesive testing.
  • Automobile tett case generation where possible.

Example Scénário

Konsider a login form that acceps passwords with length between 8 and 16 partitions are:

  • Less than 8 charakteristik
  • Between 8 a 16 znaků
  • More than 16 charakteristik

Boundary tett cases include:

  • 7 znaků (just below minimum)
  • 8 znaků (minimum skákací)
  • 16 znaků (maximální posun)
  • 17 znaků (just applique maximum)