Open Source ChromeOS Test Frameworks

PySys is a Python based framework for the organisation and execution of system level automated and manual testcases. PROJECT MOVED: As of April 2019, PySys has moved to GitHub and is no longer maintained on SourceForge, so for the development project go to https://github.com/pysys-test/pysys-test or for end-users of PySys go to https://pypi.org/project/PySys/

iValidator is a Java framework for automation of scenario and integration tests in complex environments. Features: automatic testing, reusability of unit tests, separation of code and data, Eclipse Plug-In, ANT tasks, support of all testing levels ...

Metatest - a simple and elegant Python framework for writing tests

"Yet Another Do-It-Yourself (Test) Automation Framework" specification. Use or modify one of the existing software implementations (hosted/referenced here), or implement the framework yourself. Download and read the spec for more details.

AceUnit (Advanced C and Embedded Unit): a comfortable C code unit test framework. AceUnit is JUnit 4.x style, easy, modular and flexible. AceUnit can be used in resource constraint environments, e.g. embedded software development.

A simple but fairly complete unit test framework for C in a single header file. Features fixtures, test suites and integration with xcode!

IMPORTANT: This project is no longer maintained. All the effort is targeted on project Radargun: http://radargun.sourceforge.net

The PyJTF supports the test-driven development of Javascript code using tests written in Python. It executes the code under test in the IE environment under Windows (Win32). Allows greater productivity in testing Javascript code.

R Unit test framework R functions implementing a standard Unit Testing framework, with additional code inspection and report generation tools

SPARKUnit is a unit test framework for the SPARK programming language. It enables developers to create unit tests which can be analysed by the SPARK Examiner. This allows for testing of operations with preconditions and flow analysis of test cases.

The Winfessor .NET Unit Test Library is a very simple, feature-lacking unit test framework and Winforms GUI designed to get the job done. Tests are ran on a background thread so the GUI remains responsive. Attributes are used to designate test items.

xchecker is both a test framework for XML and XSLT, and a wrapper for an XML Schema processor that allows XML Schema documents to be augmented with xchecker. xchecker checks can be any combination of XML Schema, Relax NG, XPath 2.0, XSLT 2.0 and XQuery.

C++ unit test framework, allowing you to write tests with minimal effort. Scales to large projects with thousands of tests. Supports suites and running of subsets of tests using globbing to match test names.

CppUtx is a unit test framework for C++ based on the article `Cpp Utx Overview` written by Robert DiFalco and some parts of CxxTest. It depends on the standard and the boost library.

Dredd is a language-agnostic command-line tool for validating API description documents against the backend implementation of the API. Dredd reads your API description and step by step validates whether your API implementation replies with responses as they are described in the documentation. Dredd supports writing hooks — a glue code for each test setup and teardown.

munit is a small test framework for GNU makefiles, inspired by the JUnit project. Since GNU make 3.80, makefiles can become very complex (recursive functions, dynamic contents via eval() etc.). munit has been developed to make it easy to test them.

This framework supports a wide variety of model-based GUI testing techniques. The innovation lies in the architecture of GUITAR, which uses plug-ins to support flexibility and extensibility. Software developers and quality assurance engineers may use this architecture to create new toolchains, new workflows based on the toolchains, and plug in a variety of measurement tools to conduct GUI testing. More detail is presented in this publication: GUITAR: An Innovative Tool for Automated Testing of GUI-driven Software. Bao N. Nguyen, Bryan Robbins, Ishan Banerjee, and Atif Memon. Automated Software Engineering Journal. p.21, 1. 2014

JDistUnit is a test framework for distributed unit testing with Java (think "JUnit on multiple computers at once"), useful for load and stress testing. Features hot deployment of test cases to the remote test servers.

JMUnit is a Java ME (J2ME) unit test framework based on JUnit. It supports JUnit-like test cases and test suites. Tests can be run in a device, in an emulator or as Ant tasks. IMPORTANT NOTE: The JMUnit project will be merged with the J2MEUnit project.

A test framework for penetration testing Java classes and methods with randomized parameters and testing the results.

Koarse Grind has been rewritten in Kotlin (hence the 'K'). It's new home is here: https://github.com/william-hood/koarse-grind-kotlin __________________________________ Test Automation framework for Kotlin/Java with an integrated web-based user interface. It is intended for larger-grained testing of an installed & configured product, rather than unit testing.

Lusca is a test-framework for testing network applications under unix-like operating systems. Provides remote equipment control, automated script execution, event logging and more.

Multithreaded JUnit Test Framework. An extension to JUnit that allows classes to be tested for both thread-safety and performance.

Maveryx is an innovative Test Automation Framework for Java GUI-based applications. It eliminates the GUI Maps dependency by providing a new dynamic GUI objects handling and an expert system detecting and managing AUT changes and defects at runtime.

Mobility is a gem for storing and retrieving translations as attributes on a class. These translations could be the content of blog posts, captions on images, tags on bookmarks, or anything else you might want to store in different languages. Storage of translations is handled by customizable "backends" which encapsulate different storage strategies. The default way to store translations is to put them all in a set of two shared tables, but many alternatives are also supported, including translatable columns and model translation tables, as well as database-specific storage solutions such as json/jsonb and Hstore (for PostgreSQL).