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BeanTest vs unexpected comparison of testing frameworks
What are the differences between BeanTest and unexpected?

BeanTest

https://github.com/NovatecConsulting/BeanTest

unexpected

http://unexpected.js.org/
Programming language

Java

JavaScript

Category

Unit Testing, Intergration Testing

Unit Testing

General info

A testing solution for Java EE applications

BeanTest is a testing solution for Java EE Applications which combines the speed of unit tests with almost the coverage of integration tests with minimal configuration and with standard and well known frameworks like JPA, CDI, Mockito and Junit

An extensible BDD assertion toolkit

Unexpected is an extensible BDD assertion toolkit that is compatible with all test frameworks,is Node.js ready (require('unexpected')) and supports asynchronous assertions using promises among other features. It can be used with any test runner that catches exceptions, but the developer recommends Mocha, Jest or Jasmine as they are integrated tested with every release
xUnit
Set of frameworks originating from SUnit (Smalltalk's testing framework). They share similar structure and functionality.

No

N/A

Client-side
Allows testing code execution on the client, such as a web browser

Yes

You can test front-end components of your EE application

Yes

Unexpected can be used in a browser environment to test front-end components and functionality
Server-side
Allows testing the bahovior of a server-side code

Yes

BeanTest is used to test business logic or the back-end that is information exchange between the database and the UI

Yes

Unexpected is used in a Node.JS environment to test server behaviour and functionality
Fixtures
Allows defining a fixed, specific states of data (fixtures) that are test-local. This ensures specific environment for a single test

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.

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.

N/A

Licence
Licence type governing the use and redistribution of the software

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)

Yes

You are able to provide your own Mocks in BeanTest to test external dependencies

N/A

Grouping
Allows organizing tests in groups

N/A

Other
Other useful information about the testing framework