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JBehave vs DbUnit comparison of testing frameworks
What are the differences between JBehave and DbUnit?

JBehave

https://jbehave.org/

DbUnit

http://dbunit.sourceforge.net/
Programming language

Java

Java

Category

Acceptance Testing

Unit Testing

General info

JBehave is a Behaviour-Driven Development testing framework for java

JBehave is a Behaviour Driven Development framework. It intends to provide an intuitive and accessible way for automated acceptance testing

Dbunit is a Junit extension for unit testing database driven programs

DbUnit has the ability to export and import your database data to and from XML datasets. Since version 2.0, DbUnit can also work with very large datasets when used in streaming mode and can also help you to verify that your database data match an expected set of values
xUnit
Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.

No

Yes

It is a JUnit extension which is one of the most widely known members of the xUnit family
Client-side
Allows testing code execution on the client, such as a web browser

Yes

You can test front-end behaviour (scenarios) with JBehave

No

Server-side
Allows testing the bahovior of a server-side code

JBehave tests scenarios and behaviours of components, it can test back-end behaviour

Yes

Yes its used to test database functionality
Fixtures
Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test

Yes

You have a few options for using fixtures in JBehave: you can run your steps before/after each scenario by using LifeCycle: you can use @BeforeStory and @AfterStory annotations or you can define a dummy scenario with your setup/teardown steps

N/A

Group fixtures
Allows defining a fixed, specific states of data for a group of tests (group-fixtures). This ensures specific environment for a given group of tests.

Yes

You can define group fixtures with JBehave

N/A

Generators
Supports data generators for tests. Data generators generate input data for test. The test is then run for each input data produced in this way.

No

N/A

Licence
Licence type governing the use and redistribution of the software

BSD-style license

GNU 2.1 License

Mocks
Mocks are objects that simulate the behavior of real objects. Using mocks allows testing some part of the code in isolation (with other parts mocked when needed)

The best way to mock is to use third party libraries like Mockito, Jmock or Jmockit

No

Grouping
Allows organizing tests in groups

N/A

No

Other
Other useful information about the testing framework