Open Source Mac Software Testing Tools - Page 35

Mock Object library for aiding the authoring of unittests in Python.

Provides runtime typechecking facilities for python functions, methods and generators.

NOTE: PythonQt has been moved to https://github.com/MeVisLab/pythonqt PythonQt is a dynamic and lightweight script binding of the Qt framework to the Python language. It can be easily embedded into Qt applications and makes any QObject derived object scriptable via Python without the need of wrapper code generation.

QA cover is a lightweight toolkit used to improve the quality of your java applications by insuring proper unit and Quality Assurance testing coverage. Developers mark areas in their code, which are examined during unit and QA testing, revealing import.

Simple test runner for QTestLib tests. Allows to run multiple different tests, provides interface similar to some XUnit applications, can be used with TDD (sort of). Consists of two different applications: GUI and console test runners.

Simplifies usage of Google C++ Testing Framework in Qt Creator IDE. Source code can be found here: https://github.com/OneMoreGres/qtc-gtest IMPORTANT: plugin's version must match Qt Creator's version (difference in last digit is acceptable) Then plugin must be enabled in Help->Modules menu.

Define test strategies, design test plans, execute plan-based and exploratory tests, create test protocols and manage found issues in a lightweight manner. It's for those that are looking for a lightweight, productive and structured testing process. Note: this is a community edition from 2015 (with source code) and is not maintained anymore. The latest version can be found at www.qualityspy.net

The goal of quality-check is to provide a small Java library for basic runtime code quality checks. It provides similar features to org.springframework.util.Assert or com.google.common.base.Preconditions without the need to include big libraries or frameworks such as Spring or Guava. The package quality-check tries to replace these libraries and provide all the basic code quality checks you need. The checks provided here are typically used to validate method parameters and detect errors during runtime. To detect errors before runtime we use JSR-305 Annotations. With these annotations you are able to detect possible bugs earlier. For more informations look at FindBugs™ JSR-305 support. We noticed that many projects just copy org.springframework.util.Assert or com.google.common.base.Preconditions to get access to these quality checks. Therefore we provide these features and small library that can be included in any application without big overhead.

Quantum replicates the functionalities of QC. Quantum will have the requirements, test cases, test runs, defects, RTM, TCM just as QC and will also implement custom fields. It is being developed on *AMP platform and is platform independent

Quick is a behavior-driven development framework for Swift and Objective-C. Inspired by RSpec, Specta, and Ginkgo. Quick comes together with Nimble, a matcher framework for your tests. Certain versions of Quick and Nimble only support certain versions of Swift. Depending on which version of Swift your project uses, you should use specific versions of Quick and Nimble. When code doesn't work the way it's supposed to, unit tests should make it clear exactly what's wrong. Nimble makes your test assertions, and their failure messages, easier to read. Nimble provides many different kind of assertions, each with great failure messages. And unlike XCTAssert, you don't have to type your own failure message every time. All documentation can be found in the Documentation folder, including detailed installation instructions for CocoaPods, Carthage, Git submodules, and more.

QC4J is an automated, specification-based testing framework, based on QuickCheck for Haskell. It makes it easy to test referentially transparent code, by creating test data automatically through user-defined generators.

QuickMock is a library for testing C++ code using simple hand-writing mock objects.

A simple C++ unit testing framework contained within a single header file. Minimal code is required for each new test.

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

RCPUnit is an unit testing framework, an automatic GUI testing framework, and a plugin for Eclipse RCP. It runs with PDE JUnit or other unit testing frameworks. It brings you the ability to do unit testing easily in RCP applications, and SWT application.

A robust C unit testing framework

.Net wrapper for MS Terminal Services control. Part of TAF Core distributed test automation framework (https://sourceforge.net/projects/tafcore/)

RSpec Rails brings the RSpec testing framework to Ruby on Rails as a drop-in alternative to its default testing framework, Minitest. In RSpec, tests are not just scripts that verify your application code. They’re also specifications (or specs, for short): detailed explanations of how the application is supposed to behave, expressed in plain English. RSpec follows semantic versioning, which means that “major version” upgrades (e.g., 2.x → 3.x) come with breaking changes. If you’re upgrading from version 2.x or below, read the rspec-rails upgrade notes to find out what to watch out for. In RSpec, assertions are called expectations, and every expectation is built around a matcher. When you expect(a).to eq(b), you’re using the eq matcher. RSpec Rails defines ten different types of specs for testing different parts of a typical Rails application. Each one inherits from one of Rails’ built-in TestCase classes, meaning the helper methods provided by default in Rails tests are available.

"Ra" is a testing utility wich provides numerous abilities for testers such as report generation (in different formats), statistics gathering and flexible tests running scripts and others.

Generate random values and insert them in the database. Great to test a new software or to generate meaningful dummy data. Written in PHP and uses MySQL as a DBMS.

A testing framework, based on JUnit, that allows the easy creation of randomized tests, based on Design-by-Contract principles. The programmer defines simple actions on parameters (injected by the framework), and the resulting ecosystems are verified.

A dead simple library to screenshot test React components. Under the hood, we start a local server that renders components server-side. Each component is given its own dedicated page (e.g. /render/my-component). Then we use Puppeteer to take a screenshot of that page. If you work on a team where developers use a different OS (e.g. Mac OS and Linux), or if you develop on Mac OS but use Linux for continuous integration, you would quickly run into issues where screenshots are inconsistent across platforms. This is, for better or worse, expected behavior. In order to work around this issue, react-screenshot-test will default to running Puppeteer (i.e. Chrome) inside Docker to take screenshots of your components. This ensures that generated screenshots are consistent regardless of which platform you run your tests on.

React + Redux starter kit / boilerplate with Babel, hot reloading, testing, linting and a working example app built in. One command to get started. Type npm start to start development in your default browser. Rapid feedback. Each time you hit save, changes hot reload and linting and automated tests run. One command line to check. All feedback is displayed on a single command line. No more JavaScript fatigue. Slingshot uses the most popular and powerful libraries for working with React. Working example app. The included example app shows how this all works together. Automated production build, to type npm run build to do it all. Run the automated build process, start up a webserver, and open the application in your default browser. When doing development with this kit, this command will continue watching all your files. Every time you hit save the code is rebuilt, linting runs, and tests run automatically.

Test case management plugin for Redmine The project has moved to BitBucket: https://bitbucket.org/bugzinga/redcase

Reflexive provides a clean way to handle string literals, by dynamically resolving properties and methods.