black-box testing

On the other hand, black-box testing has been said to be "like a walk in a dark labyrinth without a flashlight."

Wine is predominantly written using black-box testing reverse-engineering, to avoid copyright issues.

Software testing methods are traditionally divided into white- and black-box testing.

Black-box testing treats the software as a "black box", examining functionality without any knowledge of internal implementation.

To achieve this it is necessary to introduce additional equivalence partitions which would not be needed for black-box testing.

Code coverage tools can evaluate the completeness of a test suite that was created with any method, including black-box testing.

As such its intention is to support an agile style of black-box testing acceptance and regression testing.

Usability testing is a black-box testing technique.

Black-box testing is the software analog to FTC.

In penetration testing, black-box testing refers to a methodology where an ethical hacker has no knowledge of the system being attacked.

Fuzz testing is often employed as a black-box testing methodology in large software projects where a budget exists to develop test tools.

The test monkey is technically known to conduct stochastic testing, which is in the category of black-box testing.

Because test suites are derived from models and not from source code, model-based testing is usually seen as one form of black-box testing.

The figure indicates the areas of testing involved during different database testing methods, such as black-box testing and white-box testing.

One of the major uses of the system was by Apple's QA group to create an automated black-box testing system.

In most circumstances Wine developers use black-box testing to uncover specific behaviour, and code added to Wine is generally required to be accompanied by test cases.

Offers combined benefits: As Gray-box testing is combination of white-box and black-box testing, it serves advantages from both the testings.

Gray-box testing (International English spelling: grey-box testing) is a combination of white-box testing and black-box testing.

Gray-box testing is beneficial because it takes the straightforward technique of black-box testing and combines it with the code targeted systems in white-box testing.

Moreover, the customer, having a reduced know-how about the software structure, can perform the NRT in black-box testing and, after meeting a regression, refuse the new software release.

However Lipton shows that if a problem has "easy" sub-parts, repeated black-box testing can attain c error rate, with c a constant less than 1 and r being the number of tests.

In systems engineering it may involve black-box testing performed on a system (for example: a piece of software, lots of manufactured mechanical parts, or batches of chemical products) prior to its delivery.

Black-box testing is a method of software testing that examines the functionality of an application (e.g. what the software does) without peering into its internal structures or workings (see white-box testing).

Black-box testing methods include: equivalence partitioning, boundary value analysis, all-pairs testing, state transition tables, decision table testing, fuzz testing, model-based testing, use case testing, exploratory testing and specification-based testing.

FitNesse testing is based around the notion of black-box testing, in which a system under test is considered to be a black box and is tested in terms of the outputs generated in response to predetermined inputs.