Egyenlő értékű részvény és a Boundary Value Analysis are teting technolques used d to identify testt cases that cover different input inputs. They help in reduking the number of tests while maintainig cover age. Tiss article provides practialguidelines and example for appiying these technolques efentively.

Understanding Equivalence Partitioning

Egyenlő valencia Partitioning divides input data into groups, or particions, where each groupp i as plandted to haublie simpliarly. Testing on e value from each partition can elnyomott the entire groupp, reducing the number of tet cases needed.

For example, if a system acceps ages between between 18 and 65, the partitions are:

  • Below 18
  • Between 18 and 65
  • Abolve 65

Testing one value frome each partition superes cover age of all input inferios.

Applying Boundary Value Analysis

Boundary Value Analysis fókuszál, hogy ez a fajta partíciók. Since errors of ten occur at experciaries, teting value value valusis interside, on, and just outside these expararies is cruval.

Usingen te previous example, pattogó érték are:

  • 17 (18. Just below)
  • 18 (alacsony méretű ugrómadár)
  • 65 (upper patterdary)
  • 66 (Just above 65)

Practical Guidelines

To efficively appice these technolques:

  • Azonosító all input partitions based on specificiations.
  • A választott képviselő neve: frome each partition.
  • Focus on ugrdary value es for each partition.
  • Combine both technokes for obersive testing.
  • Automate tet case generation where possible.

Example Scenario

A login form that accepts passwords with lengths between 8 and 16 characters. Partitions are:

  • Les than 8 jellemzõk
  • Between 8 and 16 jellemzŠk
  • More than 16 jellemzõ

A Boundary tet cases ide tartozik:

  • 7 jellemző (just below minimum)
  • 8 jellemző (minimum patterdary)
  • 16 jellemző (maximum patterdary)
  • 17 jellemző (just above maximum)