BlackBoxTesttechnik

Black Box Testing is a software testing method where the internal structure or workings of an item being tested are unknown to the tester. The tester interacts with the item solely through its interfaces, providing inputs and observing outputs, without any knowledge of the code, design, or implementation details. This approach focuses on validating the functionality of the software against its specified requirements.

The core principle of black box testing is to treat the software as a "black box." The tester is concerned with what the software *does*, not *how* it does it. This means that tests are designed based on the specifications and expected behavior of the software. Common black box testing techniques include equivalence partitioning, boundary value analysis, decision table testing, and state transition testing.

Equivalence partitioning divides input data into partitions from which test cases can be derived. Boundary value analysis focuses on testing at the edges or boundaries of input domains, as errors often occur at these points. Decision table testing is used for complex business rules, and state transition testing is applied to systems that change their behavior based on their current state.

The primary advantage of black box testing is that it allows for unbiased testing from a user's perspective. It can uncover errors in functionality, performance, and usability that might be missed by developers who are familiar with the internal workings. It also requires no programming knowledge to perform, making it accessible to a wider range of testers. However, it may not detect all errors, especially those related to the internal logic or specific coding flaws.