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Functional testing

Functional testing evaluates whether software performs specified functions and produces required behavior for given inputs and conditions.

How 2 Manning books explain it

Practices of the Python Pro

A functional test evaluates software behavior by supplying input, determining expected output, obtaining actual output, and comparing the results.

How it is used
Verifies that software behaves correctly before performance work and supports confidence during refactoring.
How deep it goes
Defines four test steps, demonstrates Python implementation, and compares unit, integration, manual, and performance testing without low-level internals.
Examples
Uses mean calculation, e-commerce cart behavior, product SKU transformations, shopping-cart assertions, and an over-removal edge case.
What you can do after
Apply it via unittest or pytest to write assertions, detect failures, test alternate outcomes, and build confidence incrementally.

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Functional Design and Architecture: Examples in Haskell

Testing that evaluates specified functionality or an isolated unit of application logic without invoking real external services.

How it is used
Reduces project risk by validating functional requirements and contracts through isolated tests rather than exercising real external services.
How deep it goes
Defines scope, isolation, and testing boundaries, but does not provide a detailed execution procedure or implementation walkthrough.
Examples
Uses the Labyrinth console game as a domain example and frames subsystems, modules, and functions as possible test targets.
What you can do after
Evaluate/understand it by distinguishing isolated functionality tests from integrated tests involving real subsystems and services.

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Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.