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

JBehave

https://jbehave.org/

Artos

https://www.theartos.com/
Programming language

Java

Java

Category

Acceptance Testing

Functional Testing, End-to-End 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

Artos is an opensource BDD testing framework for writing Unit, Intergration and Functional tests

Artos includes pre-configured logging framework and extent reports, utilities to write flow for manual/semi-automated testing and supports BDD testing using cucumber scripts.
xUnit
Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.

No

Yes

It is a xUnit style framework
Client-side
Allows testing code execution on the client, such as a web browser

Yes

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

Yes

With Artos you can perform unit tests on front-end components
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

You can unit test server side behaviours and functionalities by testing specific back-end classes and functions
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

MIT 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

You can use a third party library like mockito
Grouping
Allows organizing tests in groups

N/A

Yes

Artos allows creation of test suites and they are run by use of a test script
Other
Other useful information about the testing framework