Test harness
A test harness is software and supporting infrastructure that drives tests, supplies inputs or a controlled environment, and observes or reports results.
Delivering Machine Learning Projects: From design to deployment
A test harness is software and supporting components that drive tests, provide controlled inputs, and collect outputs from the artifact under test.
- How it is used
- Supports offline candidate-model testing and result collection before selection or release.
- How deep it goes
- Details deployment and execution steps, smoke checks, and automation rationale, but does not specify harness code internals.
- Examples
- Uses country-group demand-prediction test sets to expose performance differences and justify retesting on fresh countries.
- What you can do after
- Build it from scratch in a test environment, run candidate models, and collect results for a selection decision.
Read how Delivering Machine Learning Projects: From design to deployment explains test harness →
Code Like a Pro in Rust
A test harness is infrastructure that controls test execution and collects or reports test results.
- How it is used
- Uses Rust’s built-in libtest harness for ordinary unit-test execution and external libraries for specialized test infrastructure.
- How deep it goes
- Explains harness replacement with harness = false and addresses parallel shared state, without detailing libtest internals.
- Examples
- Demonstrates proptest-based addition testing and synchronized global counters shared across parallel tests.
- What you can do after
- Operate/configure Rust tests with cargo test, proptest, synchronized state, and harness = false for custom test entry points.
Related concepts
- .NET CLIused by · .NET CLI is the command-line toolset for creating, building, running, testing, publishing, and managing .NET applications and projects.
- unit testalternative to · A unit test is a test that evaluates the behavior of a small, isolated unit of software against expected behavior.
- test environmentpart of · A test environment is a configured computing context, including relevant software, infrastructure, data, and settings, in which software is tested.
- artificial intelligenceused by · Artificial intelligence is the field concerned with creating computational systems that perform tasks associated with human intelligence, such as learning, reasoning, perception, or decision-making.
- nonfunctional requirementused by · A nonfunctional requirement specifies a quality attribute, constraint, or operating condition that a system must satisfy beyond the particular functions it performs.
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.