Best Enterprise Unit Testing Software - Page 2

The unittest unit testing framework was originally inspired by JUnit and has a similar flavor as major unit testing frameworks in other languages. It supports test automation, sharing of setup and shutdown code for tests, aggregation of tests into collections, and independence of the tests from the reporting framework. A test fixture represents the preparation needed to perform one or more tests, and any associated cleanup actions. This may involve, for example, creating temporary or proxy databases, directories, or starting a server process. A test suite is a collection of test cases, test suites, or both. It is used to aggregate tests that should be executed together. A test runner is a component which orchestrates the execution of tests and provides the outcome to the user. The runner may use a graphical interface, a textual interface, or return a special value to indicate the results of executing the tests.

xUnit.net is a free, open source, community-focused unit testing tool for the .NET Framework. Written by the original inventor of NUnit v2, xUnit.net is the latest technology for unit testing C#, F#, VB.NET and other .NET languages. xUnit.net works with ReSharper, CodeRush, TestDriven.NET and Xamarin. It is part of the .NET Foundation, and operates under their code of conduct.

Most things that you can do manually in the browser can be done using Puppeteer! Puppeteer-core is intended to be a lightweight version of Puppeteer for launching an existing browser installation or for connecting to a remote one. Be sure that the version of puppeteer-core you install is compatible with the browser you intend to connect to. Puppeteer will be familiar to people using other browser testing frameworks. You create an instance of Browser, open pages, and then manipulate them with Puppeteer's API. By default, Puppeteer downloads and uses a specific version of Chromium so its API is guaranteed to work out of the box. To use Puppeteer with a different version of Chrome or Chromium, pass in the executable's path when creating a Browser instance.

Playwright supports all modern rendering engines including Chromium, WebKit, and Firefox. Test on Windows, Linux, and macOS, locally or on CI, headless or headed. Playwright waits for elements to be actionable prior to performing actions. It also has a rich set of introspection events. The combination of the two eliminates the need for artificial timeouts - the primary cause of flaky tests. Playwright assertions are created specifically for the dynamic web. Checks are automatically retried until the necessary conditions are met. Configure test retry strategy, capture execution trace, videos, screenshots to eliminate flakes. Browsers run web content belonging to different origins in different processes. Playwright is aligned with the modern browsers architecture and runs tests out-of-process. This makes Playwright free of the typical in-process test runner limitations.

Nightwatch.js is an integrated, easy to use End-to-End testing solution for web applications and websites, written in Node.js. It uses the W3C WebDriver API to drive browsers and perform commands and assertions on DOM elements. Simple but powerful syntax which enables you to write tests very quickly, using Javascript (Node.js) and CSS or Xpath selectors. Typescript is supported as well. Built-in command-line test runner which runs the tests either sequentially or in parallel, with retries and implicit waits. Also supports grouping of test suites and tags. Manages automatically Selenium or WebDriver services (ChromeDriver, GeckoDriver, Edge, Safari) in a separate child process. Fluent and easy to work with Page Object Model support to better organise elements and sections, with support for both CSS or Xpath selectors.

Mockito is a mocking framework that tastes really good. It lets you write beautiful tests with a clean & simple API. Mockito doesn’t give you hangover because the tests are very readable and they produce clean verification errors. Read more about features & motivations. Top 10 Java library across all libraries, not only the testing tools. In late 2013 there was an analysis made of 30.000 GitHub projects. Although Mockito reached number 9 in the main report, mockito-core and mockito-all are the same tool and therefore the factual position of Mockito is number 4, surpassing famous tools like Guava or Spring. Treat this study as an indicator of a big impact that Mockito makes every day on unit tests written in Java.

Writing unit tests can be hard and sometimes good design has to be sacrificed for the sole purpose of testability. Often testability corresponds to good design, but this is not always the case. For example final classes and methods cannot be used, private methods sometimes need to be protected or unnecessarily moved to a collaborator, static methods should be avoided completely and so on simply because of the limitations of existing frameworks. PowerMock is a framework that extends other mock libraries such as EasyMock with more powerful capabilities. PowerMock uses a custom classloader and bytecode manipulation to enable mocking of static methods, constructors, final classes and methods, private methods, removal of static initializers and more. By using a custom classloader no changes need to be done to the IDE or continuous integration servers which simplifies adoption.

Mocking is a technique to make testing code readable and maintainable. In three consequent articles, I would like to show the basics, features, and quirks of the MockK library. It is a new open-source library (github repository) focused on making mocking in Kotlin great. Injection first tries to match properties by name, then by class or superclass. Check the lookupType parameter for customization. Properties are injected even if private is applied. Constructors for injection are selected from the biggest number of arguments to lowest.

Create and run unit tests, performance tests, and UI tests for your Xcode project. Use the XCTest framework to write unit tests for your Xcode projects that integrate seamlessly with Xcode's testing workflow. Tests assert that certain conditions are satisfied during code execution, and record test failures (with optional messages) if those conditions aren’t satisfied. Tests can also measure the performance of blocks of code to check for performance regressions and can interact with an application's UI to validate user interaction flows. A test method is a small, self-contained method that tests a specific part of your code. A test case is a group of related test methods. Add test cases and test methods to a test target to confirm that your code performs as expected. The primary class for defining test cases, test methods, and performance tests. An abstract base class for creating, managing, and executing tests.

Catch2 is mainly a unit testing framework for C++, but it also provides basic micro-benchmarking features and simple BDD macros. Catch2's main advantage is that using it is both simple and natural. Test names do not have to be valid identifiers, assertions look like normal C++ boolean expressions, and sections provide a nice and local way to share set-up and tear-down code in tests. You are on the devel branch, where the v3 version is being developed. v3 brings a bunch of significant changes, the big one being that Catch2 is no longer a single-header library. Catch2 now behaves as a normal library, with multiple headers and separately compiled implementation. Quick and easy to get started. Just download two files, add them to your project and you're away. No external dependencies. As long as you can compile C++14 and have the C++ standard library available. Write test cases as, self-registering, functions (or methods, if you prefer).

HUnit is a unit testing framework for Haskell, inspired by the JUnit tool for Java. It's easy to use HUnit, assuming you are familiar with Haskell, though not necessarily with JUnit. A test-centered methodology for software development is most effective when tests are easy to create, change, and execute. The JUnit tool pioneered support for test-first development in Java. HUnit is an adaptation of JUnit to Haskell, a general-purpose, purely functional programming language. With HUnit, as with JUnit, you can easily create tests, name them, group them into suites, and execute them, with the framework checking the results automatically. Test specification in HUnit is even more concise and flexible than in JUnit, thanks to the nature of the Haskell language. HUnit currently includes only a text-based test controller, but the framework is designed for easy extension. Run the tests as a group.

Refraction is a code-generation tool for developers. It uses AI to generate code for you. You can use it to generate unit tests, documentation, refactor code, and more. Generate code using AI in 34 languages — Assembly, C#, C++, CoffeeScript, CSS, Dart, Elixir, Erlang, Go, GraphQL, Groovy, Haskell, HTML, Java, JavaScript, Kotlin, LaTeX, Less, Lua, MatLab, Objective-C, OCaml, Perl, PHP, Python, R Lang, Ruby, Rust, Sass / SCSS, Scala, Shell, SQL, Swift, and TypeScript. Join thousands of developers around the world using Refraction to generate documentation, create unit tests, refactor code, and more using AI. Use the power of AI to automate the tedious parts of software development like testing, documentation, and refactoring, so you can focus on what matters. Refactor, optimize, fix and style-check your code. Generate unit tests for your code with various test frameworks. Explain the purpose of your code to make it easier to understand.

The AgitarOne product family helps you work safer, better, and smarter as you develop and maintain your Java applications. AgitarOne JUnit Generator creates thorough JUnit tests on your code. This helps you find regressions and makes it safer and easier to improve your code to reduce the cost to maintain it. AgitarOne Agitator helps developers understand the behavior of their code as they write it. This helps you prevent bugs and prevent code complexity that can become tomorrow's maintenance headache. The AgitarOne family is the best available way to create, use, and manage the unit tests that you need to be truly agile. Automated JUnit Generation, you can automate the generation of JUnit tests to create a "safety net" before you start working with existing code. You can automate the generation of JUnit tests to create a "safety net" before you start working with existing code.

Continuously build, test, release, and monitor apps for every platform. Connect to GitHub, Bitbucket, GitLab, or Azure DevOps and build your app in the cloud on every commit. Automatically run unit tests, release to testers and stores, or test your UI on real devices. Commit to a feature branch to build and test. Commit to a beta branch to distribute to testers. Commit to master to submit to the App Store. Customize to fit your team’s workflow. Does your app still work after your latest change? How does it perform on an LG G2? Find out by testing your app in a hosted device lab with 1000s of real iOS and Android devices. You’ll receive test results, full-resolution screenshots of every step, along with performance metrics. Whether you prefer private distribution, public open betas, Microsoft Intune, TestFlight, Google Play, or the App Store, App Center makes releasing your app a delight.

Cantata is a unit and integration testing tool, enabling developers to verify standard compliant or business critical code on host native and embedded target platforms. Cantata helps accelerate compliance with the standard’s dynamic testing requirements by automating test framework generation, test execution. results diagnostics and report generation. Cantata is integrated with an extensive set of embedded development toolchains, from compilers and static analysis tools to build and requirements management tools. The ECLIPSE® GUI, tight tool integrations and tests written in the source C/C++ code, all make Cantata easy to use. Cantata has been independently certified by SGS-TÜV SAAR GmbH for the main software safety standards. Standard specific Cantata tool certification kits are provided free of charge and contain everything needed out-of-the-box as well as comprehensive guidance to help you achieve certification for your device software.

Validate executable specifications against your code on any modern development stack. With over 40 million downloads, Cucumber Open is the world’s #1 automation tool for Behavior-Driven Development. Cucumber Open isn't just open source, it's an open platform that plays well with the tools you already use and love. Works with Java, JavaScript, Ruby, .NET and many other platforms. Store plain text specifications alongside your code in your own source control system. Describe how the system should behave in a way that everybody can understand. Automate with Selenium, API calls or direct function calls in the same process. Generate reports in HTML, JSON and other formats, or build your own reports. Integrate with CucumberStudio, JIRA or build your own plugins. Bridge the gap between business and development using BDD. Decrease rework with test automation. Get real-time insights with living documentation. Seamless integration with Git.

dotCover is a .NET unit testing and code coverage tool that works right in Visual Studio and in JetBrains Rider, helps you know to what extent your code is covered with unit tests, provides great ways to visualize code coverage, and is Continuous Integration ready. dotCover calculates and reports statement-level code coverage in applications targeting .NET Framework, .NET Core, Mono for Unity, etc. dotCover is a plug-in to Visual Studio and JetBrains Rider, giving you the advantage of analyzing and visualizing code coverage without leaving the code editor. This includes running unit tests and analyzing coverage results right in the IDEs, as well as support for different color themes, new icons and menus. dotCover comes bundled with a unit test runner that it shares with another JetBrains tool for .NET developers, ReSharper. dotCover supports continuous testing, a modern unit testing workflow whereby dotCover figures out on-the-fly which unit tests are affected by your code changes.

pytest helps you write better programs. The pytest framework makes it easy to write small tests, yet scales to support complex functional testing for applications and libraries. Due to pytest’s detailed assertion introspection, only plain assert statements are used. Detailed info on failing assert statements. Auto-discovery of test modules and functions. Modular fixtures for managing small or parametrized long-lived test resources. Can run unittest (including trial) and nose test suites out of the box. Supports Python 3.6+ and PyPy 3. Rich plugin architecture, with over 315+ external plugins and thriving community. The maintainers of pytest and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the open source dependencies you use to build your applications. Save time, reduce risk, and improve code health, while paying the maintainers of the exact dependencies you use.

The LDRA tool suite is LDRA’s flagship platform that delivers open and extensible solutions for building quality into software from requirements through to deployment. The tool suite provides a continuum of capabilities including requirements traceability, test management, coding standards compliance, code quality review, code coverage analysis, data-flow and control-flow analysis, unit/integration/target testing, and certification and regulatory support. The core components of the tool suite are available in several configurations that align with common software development needs. A comprehensive set of add-on capabilities are available to tailor the solution for any project. LDRA Testbed together with TBvision provide the foundational static and dynamic analysis engine, and a visualization engine to easily understand and navigate standards compliance, quality metrics, and code coverage analyses.

Appsurify’s patented AI technology determines the areas of an application that have changed after each developer commit and automatically selects and executes just the tests relevant to those changed areas in the CI Pipeline. Appsurify selects and executes only the small subset of tests impacted on a per developer change basis. Optimize CI Pipelines by removing automation testing as a bottleneck and let Builds run faster and more efficiently. Automation Testing and CI Pipelines are slowing productivity by taking too long to complete, delaying important feedback to catch bugs, and pushing release schedules back. With Appsurify, QA & DevOps work is streamlined by allowing focused test execution in only the areas that matter to catch bugs early and keep CI/CD pipelines running smoothly and efficiently.

Our platform intelligently understands your code, seamlessly executing edge cases within your coding environment, ensuring the prompt delivery of impeccable software. Experience accelerated delivery of flawless software with UnitWise at your fingertips. Say goodbye to the tedious process of manually creating test cases and the reliance on prompts for generating test codes. As you delve into coding, UnitWise becomes your steadfast testing companion, providing real-time and pertinent test codes to streamline your development journey. Select the class to test and generate test cases within your IDE in a single click. View the failed test case behaviors and fix the test to eliminate errors. Identify code bugs, enhancing software reliability, while seamlessly correcting identified code issues. We prioritize data security, ensuring the steadfast integrity and exclusivity of your code are meticulously upheld.

Meet Agile development cycles while maintaining high-quality code. Use Jtest’s comprehensive set of Java testing tools to ensure defect-free coding through every stage of software development in the Java environment. Streamline Compliance With Security Standards. Ensure your Java code complies with industry security standards. Have compliance verification documentation automatically generated. Release Quality Software, Faster. Integrate Java testing tools to find defects faster and earlier. Save time and money by mitigating complicated and expensive problems down the line. Increase Your Return From Unit Testing. Achieve code coverage targets by creating a maintainable and optimized suite of JUnit tests. Get faster feedback from CI and within your IDE using smart test execution. Parasoft Jtest integrates tightly into your development ecosystem and CI/CD pipeline for real-time, intelligent feedback on your testing and compliance progress.

WebdriverIO allows you to automate any application written with modern web frameworks such as React, Angular, Polymeror Vue.js as well as native mobile applications for Android and iOS. WebdriverIO not only runs automation based on the WebDriver protocol, it also leverages native browser APIs to enable integrations to popular developer tools such as Chrome DevTools orGoogle Lighthouse. With the plugin you have access to commands for validating if you app is a valid PWA application as well as to commands for capturing frontend performance metrics such as speedIndex and others. The WebdriverIO testrunner comes with a command line interface that provides a nice configuration utility that helps you to create your config file in less than a minute. It also gives an overview of all available 3rd party packages like framework adaptions, reporter and services and installs them for you!

NUnit is a unit-testing framework for all .Net languages. Initially ported from JUnit, the current production release, version 3, has been completely rewritten with many new features and support for a wide range of .NET platforms. The NUnit Project is a member of the .NET Foundation. The .NET Foundation will provide guidance and support to help ensure the future of the project. The success of NUnit has been made possible through the hard work of our many contributors and team members. The Core Team thanks everyone for the help and contributions that have made NUnit the success that it is. At last count, the various NUnit packages passed 126 million downloads on NuGet.org. We couldn't have done that without the dedication of the many volunteers that donate their time and knowledge to the project. NUnit is Open Source software and NUnit 3 is released under the MIT license.

WireMock is a simulator for HTTP-based APIs. Some might consider it a service virtualization tool or a mock server. It enables you to stay productive when an API you depend on doesn't exist or isn't complete. It supports testing of edge cases and failure modes that the real API won't reliably produce. And because it's fast it can reduce your build time from hours down to minutes. MockLab is a hosted API simulator built on WireMock, with an intuitive web UI, team collaboration and nothing to install. The 100% compatible API supports drop-in replacement of the WireMock server with a single line of code. Run WireMock from within your Java application, JUnit test, Servlet container or as a standalone process. Match request URLs, methods, headers cookies and bodies using a wide variety of strategies. First class support for JSON and XML. Get up and running quickly by capturing traffic to and from an existing API.

TestNG is a testing framework inspired from JUnit and NUnit but introducing some new functionalities that make it more powerful and easier to use, such as annotations, or the possibility to run your tests in arbitrarily big thread pools with various policies available (all methods in their own thread, one thread per test class, etc.). You can test that your code is multithread safe, there is flexible test configuration, support for data-driven testing (with @DataProvider), support for parameters, powerful execution model (no more TestSuite). There is a supported by a variety of tools and plug-ins (Eclipse, IDEA, Maven, etc.), it also embeds BeanShell for further flexibility, and there is default JDK functions for runtime and logging (no dependencies), and dependent methods for application server testing. TestNG is designed to cover all categories of tests, unit, functional, end-to-end, integration, etc.

Most parts of a software system do not work in isolation, but collaborate with other parts to get their job done. In a lot of cases, we do not care about using real collaborators implementation in unit testing, as we trust these collaborators. Mock objects replace collaborators of the unit under test. To test a unit in isolation or mount a sufficient environment, we have to simulate the collaborators in the test. A Mock Object is a test-oriented replacement for a collaborator. It is configured to simulate the object that it replaces in a simple way. In contrast to a stub, a Mock Object also verifies whether it is used as expected. EasyMock has been the first dynamic Mock Object generator, relieving users of hand-writing Mock Objects, or generating code for them. EasyMock provides Mock Objects by generating them on the fly using Java proxy mechanism.

Storybook provides a sandbox to build UIs in isolation so you can develop hard-to-reach states and edge cases. Implement components and pages without needing to fuss with data, APIs, or business logic. Render components in key states that are tricky to reproduce in an app. Save use cases as stories in plain JavaScript to revisit during development, testing, and QA. Use addons to customize your workflow, automate testing, and integrate with your favorite tools. Stories are a pragmatic, reproducible way to keep track of UI edge cases. Write stories once then reuse them to power automated tests. Whenever you write a story you get a handy test case. Quickly browse stories to make sure your UI looks right. Pinpoint UI changes down to the pixel by comparing image snapshots of stories. Reuse stories in your unit tests to confirm nuanced functionality. Stories show how UIs actually work not just how they're supposed to work. That makes gathering feedback and reproductions easy.

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets. We are happy to receive feedback and contributions. Deequ depends on Java 8. Deequ version 2.x only runs with Spark 3.1, and vice versa. If you rely on a previous Spark version, please use a Deequ 1.x version (legacy version is maintained in legacy-spark-3.0 branch). We provide legacy releases compatible with Apache Spark versions 2.2.x to 3.0.x. The Spark 2.2.x and 2.3.x releases depend on Scala 2.11 and the Spark 2.4.x, 3.0.x, and 3.1.x releases depend on Scala 2.12. Deequ's purpose is to "unit-test" data to find errors early, before the data gets fed to consuming systems or machine learning algorithms. In the following, we will walk you through a toy example to showcase the most basic usage of our library.

Reducing the time, cost, risk, uncertainty, and stress of DataStage delivery. Ensure all jobs comply with your coding standards, or use MettleCI's extensive library of best practices. Manage code in Git, directly from the DataStage Designer client, without any command line headaches. Promote your code from Development to Production using a fully-automated delivery pipeline. Give sequences the boot and allow MettleCI to build and run your job schedule automatically. Let MettleCI handle the heavy lifting of testing to ensure your builds are deployable without problems. No command lines, hacking, or complex config files. Test, build, and deploy using point-and-click.