What is the black box and white box testing?

In software testing, there are two main methods used to find defects black box testing and White box testing.

Black Box Testing: In black box test methods, the users do not need to have coding knowledge to test the application.

White Box Testing: In white box test method, the user has to have knowledge about the programming language.

In this article we will discuss the difference between black box testing vs white box testing.

Differences Between Black Box And White Box Testing

WhiteBox Testing	BlackBox Testing
In white box testing, Coding knowledge is required.	In black box testing, coding knowledge is not required.
It is mostly done by the developers.	It is mostly done by the testers.
Implementation knowledge is required.	Implementation knowledge is not required.
It is also called structural testing, glass box testing, code based testing or clear box testing.	It is also called data driven box testing.
It is easy to automate.	It is difficult to automate.
The main purpose of the white box testing is to check the quality of the application code.	The main purpose of the black box testing is to check the quality of the application functionality.
It takes more time compared to black box testing.	It takes less time compared to white box testing.
White box testing is suitable for algorithm testing.	Black box testing is not suitable for algorithm testing.
In white box testing, it is required to code access.	In black box testing, it is required to code access.
White Box Testing Methods: Control flow testing. Data flow testing. Branch testing. Statement coverage. Decision coverage. Path testing.	Black Box Testing Methods: Boundary Value Analysis. Equivalence partitioning. State Transition Testing. Decision Table Testing. Graph-Based Testing. Error Guessing Technique.
White Box Testing Example: Input a value and check the loops.	Black Box Testing Example: Check Login functionality.

So in this way white box and black box testing methods are used in the software testing to improve the quality of the software products.