What is a Black Box Testing Strategy?
Black Box Testing is not a type of testing; it instead is a testing strategy, which does not need any knowledge of internal design or code etc. As the name “black box” suggests, no knowledge of internal logic or code structure is required. The types of testing under this strategy are totally based/focused on the testing for requirements and functionality of the work product/software application. Black Box Testing is sometimes also called as “Opaque Testing”, “Functional/Behavioral Testing” and “Closed Box Testing”. The base of the Black Box Testing strategy lies in the selection of appropriate data as per functionality and testing it against the functional specifications in order to check for normal and abnormal behavior of the system. Now a days, it is becoming common to route the Testing work to a third party as the developer of the system knows too much of the internal logic and coding of the system, which makes it unfit to test the application by the developer. In order to implement Black Box Testing Strategy, the tester needs to be thorough with the requirement specifications of the system and as a user, should know how the system should behave in response to the particular action.
ExactData Black Box Testing Strategy Methods Include:
Functional Testing:
In this type of testing, the software is tested for the functional requirements. The tests are written in order to check if the application behaves as expected.
Stress Testing:
The application is tested against heavy load such as complex numerical values, large number of inputs, large number of queries etc. which checks for the stress/load the applications can withstand.
Load Testing:
The application is tested against heavy loads or inputs such as testing of web sites in order to find out at what point the web-site/application fails or at what point its performance degrades.
Ad-hoc Testing:
This type of testing is done without any formal Test Plan or Test Case creation. Ad-hoc testing helps in deciding the scope and duration of the various other testing and it also helps testers in learning the application prior starting with any other testing.
Exploratory Testing:
This testing is similar to the ad-hoc testing and is done in order to learn/explore the application.
Usability Testing:
This testing is also called as ‘Testing for User-Friendliness’. This testing is done if User Interface of the application stands an important consideration and needs to be specific for the specific type of user.
Smoke Testing:
This type of testing is also called sanity testing and is done in order to check if the application is ready for further major testing and is working properly without failing up to least expected level.
Recovery Testing:
Recovery testing is basically done in order to check how fast and better the application can recover against any type of crash or hardware failure etc. Type or extent of recovery is specified in the requirement specifications.
Volume Testing:
Volume testing is done against the efficiency of the application. Huge amount of data is processed through the application (which is being tested) in order to check the extreme limitations of the system.