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Happy path information


In the context of software or information modeling, a happy path (sometimes called happy flow) is a default scenario featuring no exceptional or error conditions.[1][2] For example, the happy path for a function validating credit card numbers would be where none of the validation rules raise an error, thus letting execution continue successfully to the end, generating a positive response.

Process steps for a happy path are also used in the context of a use case. In contrast to the happy path, process steps for alternate flow and exception flow may also be documented.[3]

Happy path test is a well-defined test case using known input, which executes without exception and produces an expected output.[4] Happy path testing can show that a system meets its functional requirements but it doesn't guarantee a graceful handling of error conditions or aid in finding hidden bugs.[5][4]

Happy day (or sunny day) scenario and golden path are slang synonyms for happy path.[6]

In use case analysis, there is only one happy path, but there may be any number of additional alternate path scenarios which are all valid optional outcomes. If valid alternatives exist, the happy path is then identified as the default or most likely positive alternative. The analysis may also show one or more exception paths. An exception path is taken as the result of a fault condition. Use cases and the resulting interactions are commonly modeled in graphical languages such as the Unified Modeling Language (UML) or SysML.[7]

  1. ^ BPMN: A Meta Model for the Happy Path
  2. ^ Meszaros, Gerard. "happy path". xUnit Patterns. Archived from the original on 2017-10-19. Retrieved 2018-02-16.
  3. ^ "Alternate & Exception Flow".
  4. ^ a b Cite error: The named reference edw14 was invoked but never defined (see the help page).
  5. ^ Cite error: The named reference coh05 was invoked but never defined (see the help page).
  6. ^ "Cambridge Dictionary".
  7. ^ Flexible Views for View-based Model-driven Development By Burger, Erik. KIT Scientific Publishing, Nov 14, 2014. Pg. 250.

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