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Black Box Testing

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Black Box Testing

Black box testing also known as functional testing or behavioraltesting treats the system as a black-box”, so it doesn’t explicitly use Knowledge of the internal structure or code. Or in other words the Test engineer need not know the internal working of the “Black box” or application.Main focus in black box testing is on functionality of the system as a whole.

Black box testing occurs throughout the software development and testing life cycle i.e. in Unit, Integration, System, Acceptance and regression testing stages.

Advantages of Black Box Testing

·         Tester can be non-technical.

·         Used to verify contradictions in actual system and the specifications.

·         Test cases can be designed as soon as the functional specifications are complete

Disadvantages of Black Box Testing

·         The test inputs needs to be from large sample space.

·         It is difficult to identify all possible inputs in limited testing time. So writing test cases is slow and difficult

·         Chances of having unidentified paths during this testing

Methods of Black box Testing:

1.      Graph Based Testing Methods:
Each and every application is build up of some objects. All such objects are identified and graph is prepared. From this object graph each object relationship is identified and test cases written accordingly to discover the errors.

2.      Error Guessing:
This is purely based on previous experience and judgment of tester. Error Guessing is the art of guessing where errors can be hidden. For this technique there are no specific tools, writing the test cases that cover all the application paths.

3.      Boundary Value Analysis:
Many systems have tendency to fail on boundary. So testing boundary values of application is important. Boundary Value Analysis (BVA) is a test Functional Testing technique where the extreme boundary values are chosen. Boundary values include maximum, minimum, just inside/outside boundaries, typical values, and error values. Extends equivalence partitioning
Test both sides of each boundary
Look at output boundaries for test cases too
Test min, min-1, max, max+1, typical values

·         BVA techniques:

Number of variables
Kinds of ranges
Generalizing ranges depends on the nature or type of variables
Advantages of Boundary Value Analysis
 Robustness Testing - Boundary Value Analysis plus values that go beyond the limits
 Min - 1, Min, Min +1, Nom, Max -1, Max, Max +1
 Forces attention to exception handling

4.      Equivalence Partitioning:
Equivalence partitioning is a black box testing method that divides the input domain of a program into classes of data from which test cases can be derived.

Tools used for Black Box testing:
Black box testing tools are mainly record and playback tools. These tools are used for regression testing that to check whether new build has created any bug in previous working application functionality. These record and playback tools records test cases in the form of some scripts like  Perl, TSL, VB script, Java script,.

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