Alternatives to NUnit

Parasoft's mission is to provide automated testing solutions and expertise that empower organizations to expedite delivery of safe and reliable software. A powerful unified C and C++ test automation solution for static analysis, unit testing and structural code coverage, Parasoft C/C++test helps satisfy compliance with industry functional safety and security requirements for embedded software systems.

JUnit 5 will be the next generation of JUnit. The goal is to provide a solid foundation for JVM-side testing. This includes Java 8 and higher, as well as allowing many styles of testing. We need your support as our users to keep the pace going. No matter how many donations we receive, we will continue to work on JUnit. Your support would allow us to focus more on JUnit and not just on weekends or in our spare moments. We want to meet regularly and have colocated work for a few days so that we can get more done in face-toface design and coding sessions. Your donations will make this a reality!

aqua, with its AI-powered technology, is a cutting-edge Test Management System built to streamline and boost QA processes. Perfect for both large and small businesses, especially in highly regulated sectors like Fintech, MedTech, and GovTech, aqua excels in: - Organizing and managing custom testing workflows - Handling various testing scales and complexities, - Managing comprehensive test data sets - Ensuring detailed insights through advanced reporting - Transitioning from manual to automated testing All of this becomes effortless with Aqua. Additionaly, it stands out with "Capture" - simplified 'single-click' bug tracking and reproducing solution. Seamlessly integrating with popular platforms like JIRA, Selenium, and Jenkins, and supported by REST API, aqua enhances QA efficiency, significantly reducing time spent on routine tasks and accelerating software release cycles by 200%. Take away your pain of testing! Try aqua today!

The JavaScript testing framework is powerful and easy to use. No configuration required for any Node.js project. Browser-based projects require minimal configuration. Node.js tests can be run from any browser. You can test your code wherever it runs. Flexible APIs allow you to customize QUnit to meet your needs. It is easy to get started with QUnit for Node.js. First, install QUnit using npm. Now you can run the test suite using the QUnitCLI. It is recommended to run the QUnit CLI command through an npm script. This will automatically locate the QUnit commands from your local dependencies. You can find more information about the QUnit APIs to organize tests and make assertions in the API documentation. QUnit supports current and maintenance LTS releases and follows the Node.js LTS schedule.

JUnit and NUnit are both inspired by TestNG, but it introduces some new functionalities to make it more powerful and easy to use. For example, you can run your tests in large thread pools with different policies (all methods in their own threads, one thread per class, etc.). It can be used to verify that your code is multithread-safe, it supports data-driven testing (with @DataProvider), supports parameters, and has a powerful execution model (no TestSuite). A variety of tools and plug ins are available to support the - such as Eclipse, IDEA, Maven, and many others. It also embeds BeanShell to provide additional flexibility. There are default JDK functions that allow for runtime and logging (no dependencies) and dependent methods for testing application servers. TestNG covers all types of tests: unit, functional, integration, and more.

The LDRA tool Suite is LDRA’s flagship platform. It provides open and extensible solutions to build quality into software, from requirements through 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. There are many configurations of the core components of this tool suite that can be used to meet common software development needs. You can tailor the solution to any project with a comprehensive range of add-on capabilities. TBvision and LDRA Testbed provide the foundational static/dynamic analysis engine. They also offer a visualization engine that allows users to easily understand and navigate standards compliance, quality metrics and code coverage analyses.

SpecFlow makes automation of test easier by making it a team effort, and allowing each role to make better use of their skills. Do not waste time looking for the correct definition in your binding classes. Just right-click and jump directly to the relevant code. Hooks (event bindings), can be used to add automation logic at specific times. For example, to set up a scenario before it is executed. SpecFlow supports a dependency-injection framework that can instantiate and inject context into scenarios. This allows you group the shared state into context classes and to inject them into any binding class that has access to the shared state.

End-to-end testing of any web-based application is fast, simple and reliable.

Cantata is an integration and unit testing tool that allows developers to verify code that is compliant with the standard on embedded and host-native target platforms. Cantata automates test framework generation and execution to help accelerate compliance with dynamic testing requirements. Results diagnostics and report generation. Cantata integrates with a wide range of embedded development tools, including compilers and static analysis tools, to build and requirements management tools, and more. Cantata is easy to use thanks to the ECLIPSE®, tight tool integrations, and tests written in C/C++. SGS-TUV SAAR GmbH has independently certified Cantata for the main software safety standards. The standard Cantata tool certification kits come free of charge. They include everything you need out-of-the box and comprehensive guidance to help achieve certification for your device software.

AgitarOne's product family allows you to work smarter, safer, and better when developing and maintaining Java applications. AgitarOne JUnit Generator generates comprehensive JUnit tests for your code. This allows you to find and fix any errors and makes it easier and safer to improve your code in order to lower its maintenance costs. AgitarOne Agitator allows developers to understand the behavior of their code while they are writing it. This helps you avoid bugs and code complexity that could lead to future maintenance headaches. The AgitarOne family offers the best way to create, manage, and use unit tests to enable you to be truly agile. Automated JUnit Generating: You can automate the generation and maintenance of JUnit tests before you begin working with existing code. Automate the generation and testing of JUnit tests before you begin working with existing code.

xUnit.net, a free, open-source, community-focused unit test tool for the.NET Framework, is available as a free, open-source, and freely available. xUnit.net was created by the original inventor NUnit v2. It is the latest technology to unit test C#, F# and other.NET languages. xUnit.net is compatible with ReSharper and CodeRush, TestDriven.NET, and Xamarin. It is part the.NET Foundation and operates under their code.

This is the easiest way to unit-test. You can write tests without having to modify your code. Even legacy code. Methods, private methods, nonvirtual methods and out parameters, as well as members and fields. Developers around the globe can use our professional edition for no cost. You can also purchase a paid support package. You can improve your code integrity and produce quality code. You can create entire object models by using one statement. Mock statics, private constructors and events. Our suggestion feature generates test suggestions that are suitable for your code. Our smart runner will run your impact tests and give you instant feedback. While you code, our coverage feature displays your code coverage.

Using pytest you can write better programs. The pytest framework allows you to write small tests while still being able to support complex functional testing of libraries and applications. Because of pytest’s introspection, only plain assert sentences are used. Details on failing assert statements. Auto-discovery test modules and functions. Modular fixtures are used to manage small or parametrized, long-lasting test resources. The box can run unittest (including trial), and nose test suites. Supports Python 3.6+, and PyPy 3. Rich plugin architecture with over 315+ plugins from outside and a thriving community. Tidelift is working with the maintainers of Python and thousands of other packages to provide commercial support and maintenance for open-source dependencies that you use to build your applications. You can save time, reduce risk, improve code health, and pay the maintainers of exactly the dependencies that you use.

Symflower improves software development through the integration of static, dynamic and symbolic analyses, as well as Large Language Models. This combination takes advantage of the precision of deterministic analysis and the creativity of LLMs to produce higher quality and faster software. Symflower helps identify the best LLM for a specific project by evaluating models against real-world scenarios. This ensures alignment with specific environments and workflows. The platform solves common LLM problems by implementing automatic post- and pre-processing. This improves code quality, functionality, and efficiency. Symflower improves LLM performance by providing the right context via Retrieval - Augmented Generation (RAG). Continuous benchmarking ensures use cases are effective and compatible with latest models. Symflower also offers detailed reports that accelerate fine-tuning, training, and data curation.

Embunit is a unit test tool for programmers and testers who are developing software in C++ or C++. Although it is intended for embedded software development, it can also be used to create unit test cases for any software written in C++ or C++. Embunit takes out the repetitive, mundane aspects of writing unit test code, allowing you to focus on the test behavior. This is done by specifying a sequence or actions, as shown in the screenshot below. Embunit automatically generates the source code for unit tests. Embunit was designed with flexibility in mind. It can be customized to create unit tests on any hardware platform, even microcontrollers. It is not tied down to any particular toolset and is designed for the common limitations of embedded C++ compilers.

Many parts of a software program work together to accomplish their tasks. We trust our collaborators and don't care about real collaborators in unit testing. Mock objects can replace the unit under test's collaborators. We need to simulate the collaborators in order to test the unit in isolation. A mock object is a replacement for a collaborator and is used to test the unit. It simulates the object it replaces in an easy way. A Mock Object, unlike a stub does not verify that it is being used as expected. EasyMock was the first dynamic Mock Object generator. It has helped users to either generate code or relieve them from hand-writing mock Objects. EasyMock generates Mock Objects on the fly by using the Java proxy mechanism.

Validate executable specs against your code on any modern development platform. Cucumber Open, the #1 automation tool for Behavior Driven Development, has over 40 million downloads. Cucumber Open is not just open-source, it's also an open platform that works well with the tools that you already love and use. It works with JavaScript, Ruby,.NET, and many other platforms. Plain text specifications can be stored alongside your code in your source control system. The system's behavior should be described in a way that everyone can understand. Automate with Selenium API calls, or direct function calls within the same process. You can create your own reports or generate reports in HTML, JSON, and other formats. Integrate CucumberStudio and JIRA, or create your own plugins. BDD bridges the gap between development and business. Test automation can reduce rework. Live documentation gives you real-time insight. Integration seamless with Git

Deequ is an Apache Spark library that allows you to define "unit tests for data", which are used to measure data quality in large data sets. We welcome feedback and contributions. Deequ depends on Java 8. Deequ version 2.x is only compatible with Spark 3.1 and vice versa. If you depend on an older Spark version, please use a Deequ version 1.x (legacy version is maintained under legacy-spark-3.0). We offer legacy releases compatible to Apache Spark versions 2.2.x through 3.0.x. The Spark 2.2.x release and 2.3.x release depend on Scala 2.01 and the Spark 2.4.x.x, 3.0.x and 3.1.x depend on Scala 2.02. Deequ's purpose in unit-testing data is to identify errors before they are fed to machine learning algorithms or consuming systems. We will show you how to use our library in the simplest way possible by showing you a toy example.

Jest is designed to work with JavaScript projects without any configuration. Tests that keep track of large objects are easy to create. Snapshots can be embedded inline or incorporated into your tests. To maximize performance, tests can be run in parallel by running them in their respective processes. To maximize performance, parallelize tests by running them in their respective processes. Jest can run multiple tests concurrently by ensuring that each test has a unique global state. Jest will run failed tests first, then re-organize runs based on the time it takes to complete them. Jest can run multiple tests concurrently by ensuring that your tests have a unique global state. Jest will run failed tests first, and then re-organize runs based on the time it takes to complete them. Jest uses a custom solver to import objects in your tests. This makes it easy to mock any object that is not within your test's scope.

Flexible test management for Jira teams. Synchronize results from popular frameworks and automat tools like Cucumber or Jenkins. Use dashboard gadgets and reports that are specific to your project. These gadgets can provide information on test executions, top defect, and more. Start automating and manual testing in your Jira environment with minimal disruption. Zephyr Squad is simple and tightly integrated. It makes it easy for Jira-experienced teams to begin testing right away. Zephyr Squad brings a shared understanding for all teams. Synchronize automated test results using popular open-source frameworks, and industry-leading tools for test automation. Keep teams in sync and make informed decisions about software releases. Jira dashboards allow any member of your team to access test metrics and end-to-end tracability. Zephyr Squad integrates with the test automation frameworks and tools you already use to help you deliver quality products quickly and at scale.

JUnit inspired the unittest unit testing framework. It has a similar flavor to major unit testing frameworks in other languages. It supports test automation, sharing setup and shutdown codes for tests, aggregation and isolation of the tests from the report framework. A test fixture is the preparation required to perform one or more of the tests and any cleanup actions. This could include creating directories or temporary databases, or initiating a server process. A test suite is a collection or combination of test cases and test suites. It is used to combine tests that should be executed together. A test runner is a component that orchestrates the execution and displays the results to the user. The runner can use a textual or graphical interface to display the results of the tests.

The Maven Central repository hosts the toolkit. For test execution, Java 7 or higher is required. Tests must use JUnit/TestNG. See Running tests with JMockit for instructions on how to add this library to a Java Project. This tutorial will show you how to use Java 8 to test the APIs in the library. The central API, a single annotation, allows for the automatic instantiation or initialization of objects to be tested. The mocking API, also known as the "Expectations API", is for mocked dependencies. A small fake API (aka "Mockups") can be used to create and apply fake implementations, which avoids the full cost of external parts.

Maintain high-quality code while adhering to agile development cycles. Jtest's extensive Java testing tools will ensure that you code flawlessly at every stage of Java software development. Streamline Compliance with Security Standards. Ensure that your Java code conforms to industry security standards. Automated generation of compliance verification documentation Get Quality Software Out Faster Java testing tools can be integrated to detect defects faster and more efficiently. Reduce time and costs by avoiding costly and complicated problems later. Increase your return on unit testing. Create a set of JUnit test suites that are easy to maintain and optimize for code coverage. Smart test execution allows you to get faster feedback from CI as well as within your IDE. Parasoft Jtest integrates seamlessly into your development ecosystem and CI/CD pipeline for real-time, intelligent feedback about your testing and compliance progress.

Nightwatch.js, written in Node.js, is an integrated End-to-End testing tool for websites and web applications. It uses the W3C WebDriver to drive browsers, and perform commands and assertions regarding DOM elements. It uses a simple but powerful syntax that allows you to quickly write tests using Javascript (Node.js), CSS or Xpath selectors. Typescript is also supported. Built-in command line test runner that runs the tests in parallel or sequentially, with implicit waits and retries. Supports grouping test suites and tags. In a separate child process, manages Selenium and WebDriver services (ChromeDriver GeckoDriver Edge Safari, ChromeDriver, Edge, Safari) automatically. Easy to use Page Object Model support to organize elements and sections more efficiently, with support for CSS and Xpath selectors.

Automated tests of high quality are essential to ensuring software is optimized and polished before release. It can be time-consuming to create numerous tests in order to catch as many errors as possible. Ranorex DesignWise can help you focus your test building in order to reduce testing cycles, save money and get your product on the market faster. DesignWise comes with a set of Intelligent Augmentation Algorithms and a "control knob" that helps test developers create the correct number of tests. Users can remove unneeded variables and focus only on the parameters they need. This allows team members to fill in gaps and eliminate tests that are unnecessary or overlapped.

Karma's main goal is to provide a productive environment for developers. Karma's goal is to create a testing environment that developers don't need to set up many configurations. Instead, it will allow them to write the code and receive instant feedback from their tests. You are more productive and creative when you get quick feedback. You can test your code on real browsers, real devices (phones, tablets, etc.) or on a PhantomJS instance headless. You can control the entire workflow from the command line, or your IDE. Simply save a file and Karma's will run all the tests. Karma also monitors all files specified in the configuration file and triggers the test run by sending a signal back to the testing server to notify all captured browsers to run the test again. Each browser then loads the source files within an IFrame and executes the tests. Finally, the browser reports the results back the server.

Playwright supports all modern rendering engines, including Chromium and WebKit. You can test on Windows, Linux, or macOS. Playwright waits for the elements to become actionable before he can take any actions. It also offers a wealth of introspection events. Combining the two reduces artificial timeouts, which is the main cause of flaky tests. Playwright assertions were created for the dynamic web. Checks are automatically retried until all conditions are met. To eliminate flaky bits, configure test retry strategy, capture execution trace and screenshots. Browsers can run web content from different origins in different ways. Playwright is compatible with modern browser architectures and runs tests out of-process. Playwright is free from the limitations of in-process test runners.

Test and verify data management for IBM iSeries, IBM iSeries and AS/400. Complex IBM i applications need to be tested from top to bottom and into the data wherever it is. TestBench IBM I is a proven, comprehensive solution for test data management, verification, and unit testing that integrates with other solutions to ensure application quality. Stop copying all the data and focus on what you need. You can select or sample data that has been kept in full referential integrity. You can choose which fields should be protected and then use a variety obfuscation techniques to protect your data. Track every insert, update, and delete. You can create rules to ensure that data failures are automatically flagged. Avoid painful save/restores, and stop trying to explain bad test results that were based on poor data. Although it is a proven method of verifying your test results, comparing outputs can be tedious and prone to error. This unique solution can save you hours.

DotCover is a.NET code coverage and unit testing tool that works in Visual Studio and JetBrains Rider. It allows you to see code coverage and helps you to know how much code is covered by unit tests. dotCover calculates and reports the statement-level code coverage for applications that target.NET Framework,.NET Core or Mono for Unity. DotCover is a plug in to Visual Studio and JetBrains Rider. It allows you to analyze and visualize code coverage without ever leaving the code editor. You can run unit tests and analyze coverage results directly in the IDEs. There are also support for new icons, color themes, and menus. DotCover is packaged with ReSharper, a JetBrains tool that allows you to run unit tests. dotCover supports continuous test, which is a modern unit-testing workflow that allows dotCover to determine on-the-fly which unit testers are affected by code changes.

All members of the team can perform robust automated testing on desktop, mobile, and web applications. This is regardless of whether they have any experience with functional test automation tools. Ranorex Studio is an all in one solution that provides codeless automation tools and a complete IDE. Ranorex Studio's industry-leading object recognition system and shareable object repository make it possible to automate GUI testing, regardless of whether you are using legacy applications or the latest mobile and web technologies. Ranorex Studio supports cross browser testing with integrated Selenium WebDriver integration. Easy data-driven testing can be done using CSV files, Excel spreadsheets, or SQL database files. Ranorex Studio supports keyword-driven testing. Our tools for collaboration enable test automation engineers to create reusable code modules, and share them with their team. Get a 30-day free trial to get started with automation testing.

An easy-to-use GUI test automation tool allows you to ensure the quality of your application while not compromising speed or agility. Our AI-powered object recognition engine, script or scriptless flexibility are unmatched. This allows you to test every desktop, mobile, and web application. TestComplete includes an intelligent object repository and support to over 500 controls. This will ensure that your GUI tests are robust, scalable, and easy-to-maintain. Automation means higher quality overall. Automate UI testing across a wide variety of desktop applications including.Net and Java, WPF, and Windows 10. Reusable tests can be created for all web applications, including modern JavaScript frameworks such as React and Angular. Automate functional UI testing on Android and iOS devices. You don't need to jailbreak your phone.

TESSY automates your embedded software's unit testing cycle, including regression tests. TESSY is an easy-to install and easy-to use testing tool that guides you through unit test workflows from project setup, through test design and execution, to result analysis and reporting. TESSY also takes care of the entire test organization, as well as the management of tests, including requirements, measurement of coverage, and traceability. TESSY's test project management feature allows you to create a test project structure that is based on folders and collections, define environment variables, or configure your preferred compiler/debugger using the integrated Test Environment Editor. The test results and coverage results can be viewed directly in the project structure.

Mocha works in the browser. Mocha releases will include new builds of./mocha.js/./mocha.csss that can be used in the browser. Mocha will be able to tell if it should wait for the function to be called by adding an argument (usually called done) to it() to a test-callback to make sure it is aware of this. This callback accepts either an Error instance or subclass thereof, and any other value is invalid usage. It throws an error, usually resulting in a failed test. These reporters expect Mocha's to know how many tests it will run before execution. This information is not available in parallel mode because test files are only loaded when they are being run. Serial mode will stream the results of tests as they occur. Parallel mode buffers reporter output; reporting will occur after each file has been completed. In practice, the reporter output will appear as "chunks", but will otherwise be identical. A test file that is slow may cause a significant pause.

Full-featured IDE for coding, debugging, testing, and deployment to any platform. Code faster. Work smarter. Create the future using the best-in class IDE. From initial design to final deployment, you can develop with the entire toolkit. Improved IntelliSense performance when working with C++ files. Local development with a variety of emulators. Solution Explorer simplifies test access. The IDE now supports Git management, including repo creation. Microsoft Azure workload now includes Kubernetes. Live Share allows you to instantly share your app with your peers, regardless of the type of app, programming language, or OS you are using. You don't need to set up an environment or clone the repo to start sharing.

Mockito is a mocking tool that tastes great. It allows you to write beautiful tests using a simple API. Mockito won't leave you feeling hungover. The tests are easy to read and produce clear verification errors. Learn more about the features and motivations. The top 10 Java libraries across all libraries, and not just the testing tools. An analysis of 30.000 GitHub projects was done in late 2013. Mockito was ranked 9th in the main report. However, mockitocore and mockito all are the same tool so Mockito's actual position is number 4, just above Spring and Guava. This study is an indicator of the huge impact Mockito has on Java unit tests.

Apache Yetus is a collection libraries and tools that facilitate contribution and release of software projects. It provides a robust system to automatically check new contributions against a variety community accepted requirements. It also allows for the documentation of a well-defined supported interface for downstream project. Release managers can use this tooling to generate release documentation based upon information provided by source repositories and community issue trackers. The majority of the software is written using scripting and shell languages. The project's name is in honor of the shell code. Yetus is a synonym for the Cymbium genus. Projects can use the Yetus Precommit build and patch, as well as the CI suite, to codify their patch acceptance criteria, and then evaluate incoming contributions before they are reviewed by a committer. Java Annotations can be used to indicate which parts of your Java library are publicly consumable.

Initial tests for Apache Ant tasks were written in JUnit test cases. It became clear that most tests had to perform common tasks such as reading a build file and initializing a project instance. This was the point when BuildFileTest was created, a base class that can be used for most task test cases. BuildFileTest is a good tool and has been adopted by the Ant-Contrib Project as well as others. This approach has several advantages. One of these is the ease of translating a build file from a bug into a test case. Asking a user to create a testcase for Ant for a bug that is known to be problematic, he doesn't have to know JUnit or how to integrate a test into Ant. AntUnit extends this approach to testing by removing JUnit entirely and providing a set predefined tests.<assert>tasks to be reused common type of checks.</assert>

Software delivery and test planning can increase efficiency and quality. Available on-premises and in the cloud. IBM Engineering Test Management provides collaborative, quality management solutions that offer end-to-end testing planning and asset management. This includes managing requirements, defects, and other aspects of the test process. Teams can share information seamlessly and use automation to speed up complex project schedules. They can also report on metrics in real-time for informed release decisions. Use test plans to achieve quality goals, track priority items, and manage responsibilities. This tool will help you to manage regulatory requirements and prepare for compliance audits. You can always see the current status of your team members in real time without having to ask them. Rich text, inline images, and assisted data entry and validation can be used to accelerate testing for precise test definitions and execution. You can use the cloud to speed up your testing and put your focus on technological innovation.

Bigtop is an Apache Foundation project that provides comprehensive packaging, testing, and configuration for the most popular open-source big data components. Bigtop supports a wide variety of components/projects including Spark, HBase, and Hadoop. Bigtop packages Hadoop RPMs (and DEBs) so you can manage your Hadoop cluster. Bigtop offers an integrated smoke testing framework and a suite with over 50 test files. Bigtop offers vagrant recipes, raw images and (work in progress) docker recipes to deploy Hadoop starting from zero. Bigtop supports many Operating Systems, such as Debian, Ubuntu and CentOS, Fedora and openSUSE. Bigtop provides tools and a framework to test at different levels (platform, runtime, packaging, etc.). Both initial deployments and upgrade scenarios can be done for the entire platform.

Did you know that nearly half of all projects fail EMC testing? Many companies prefer to conduct EMC precompliance testing in-house, which can help save money and increase the chances of passing these tests. EMCVu, a new software solution, can be combined with a real time spectrum analyzer to provide an all-in-one precompliance and debug solution. Engineers now have an easy, affordable, accurate, and inexpensive way to determine whether their product designs are ready for submission to an EMC testing house. First, make sure that you have the latest version SignalVu-PC spectrum analysis software - V3.13. Once you have this, you will need a license key to unlock EMCVu. You can either download a trial license for free or purchase the software license by completing the request a quote form.

Appium is an open-source framework for testing web apps. It can be used with native, hybrid, and mobile web apps. It can drive iOS, Android, or Windows apps using the WebDriver protocol. Appium was created with the idea that native apps should not require recompiling or including an SDK. Appium should allow you to use your preferred frameworks, test practices, and tools. Appium is an open-source project. We have made design and tool choices to encourage a vibrant contributor community. Appium is designed to automate mobile apps from any language and any testing framework. It also allows full access to back-end APIs, DBs, and test code. You can write tests using your favorite development tools, including all the languages mentioned above and possibly more (with the Selenium WebDriver and language-specific client library).

NCrunch monitors your code coverage in real time, and displays this in markers right next to your code. This makes it easy for you to see where your coverage is lacking or high. NCrunch was built with complex large-scale projects in mind. The last 12 years have been spent optimizing and scaling NCrunch to meet the requirements of real-world systems with millions of lines and thousands of tests. NCrunch keeps track of all test data and provides you with the most relevant feedback as quickly as possible. The tests that have been affected by your code changes are prioritized for execution using high-performance IL-based change mapping. NCrunch can transfer build and test work to other computers. You can farm tasks to connected machines or scale up to the cloud. Developers can share processing resources, allowing teams to pool their testing resources.

Atlassian Clover has been a reliable source of code coverage analysis for Java and Groovy developers for many years. This reliability has allowed us to concentrate our development efforts on improving our core offerings like Bitbucket and Jira Software. Clover has been open-sourced, which we believe is the best way for Clover to receive the attention and focus it deserves. Clover is open to developers who are eager to contribute, just like they were with other open-source projects such as the IDE connectors or dozens of libraries. Clover is already a powerful tool for code coverage and we are excited to see how the community will make Clover thrive.

HUnit is a Haskell unit testing framework that was inspired by the JUnit Java tool. HUnit is easy to use if you are familiar enough with Haskell but not necessarily JUnit. Test-centered software development is more effective when tests are simple to create, modify, and execute. JUnit was the first tool to support test-first Java development. HUnit is a translation of JUnit to Haskell. This is a general-purpose, functional programming language. HUnit is similar to JUnit in that you can create tests, name them and group them into suites. The framework will automatically check the results. Because of the Haskell language, HUnit's test specification is more concise and flexible that JUnit. HUnit currently only has a text-based controller, but the framework can be easily extended. Run the tests in a group.

A good ALM tool can help you manage the product's application lifecycle. The best ALM tools provide you with complete traceability throughout your product's lifecycle. Helix ALM is a preferred choice for development teams in all industries. Helix ALM is a modular set of ALM tools. This suite of ALM tools can be used to trace requirements, test results, and other issues. Helix ALM is the best ALM suite for managing the entire application lifecycle. This suite of ALM software offers unparalleled traceability. This means that you will know if requirements were tested and met, whether test runs passed or failed, and if any issues have been resolved. You'll also know which test cases or issues will be affected if a requirement is changed. Helix ALM makes it easy for you to create and share requirements documents. The software allows you to review requirements and obtain approvals. You can also reuse requirements between projects.

Jasmine tries to adhere as closely as possible semantic versioning. We reserve major versions (1.0 and 2.0, etc.) We reserve major versions (1.0, 2.0, etc.) for breaking changes or other significant work. Jasmine releases are usually minor releases (2.3 and 2.4, respectively). Major releases are rare. Except for major releases, Jasmine does not drop support for browsers or Node versions. This is not true for Node versions past their end of life, browsers we cannot install locally or test against in our CI builds, browsers no longer receiving security updates and browsers that run only on older operating systems. We will make every effort to keep Jasmine running in these environments, but we won't necessarily release a major release if they fail.

WireMock simulates HTTP-based APIs. It can be used as a virtual service or mock server. It allows you to remain productive even if an API you depend upon isn't available or incomplete. It allows you to test edge cases and failure modes that an API doesn't reliably produce. It's also fast, which can reduce your build time by a few minutes to hours. MockLab is a hosted API simulation built on WireMock. It features an intuitive web interface, team collaboration, and requires no installation. The 100% compatible API allows drop-in replacement of WireMock servers with just one line of code You can run WireMock within your Java application, JUnit Test, Servlet container, or as a standalone operation. A wide range of strategies can be used to match request URLs, methods and headers cookies. First-class support for JSON or XML. Capture traffic to and from an API and get up and running quickly

Appsurify's patented AI determines which areas of an application have changed following each developer commit. It then selects and executes only the tests relevant to these changed areas within the CI Pipeline. Appsurify executes a small subset of the tests that are impacted by each developer change. Optimize CI Pipelines to remove automation testing as a bottleneck, and let Builds run more quickly and efficiently. Automation Testing and CI Pipelines slow down productivity by taking too much time to complete. This delays important feedback for catching bugs and pushes back release schedules. Appsurify streamlines QA & DevOps by allowing them to focus on the areas they need to test in order for them catch bugs early.

Continuously develop, test, release, monitor, and monitor apps on every platform. Connect to GitHub or Bitbucket, GitLab or Azure DevOps to build your app in cloud every commit. Automate unit tests, release your app to testers and stores, and test your UI on real devices. To build and test, commit to a feature branch. To distribute to testers, commit to a beta branch. To submit to the App store, commit to master. You can customize to suit your team's workflow. Is your app still working after the latest update? How does your app perform on the LG G2? You can find out by testing your app on a host device lab that includes 1000s of Android and iOS devices. You will receive full-resolution screenshots and performance metrics, as well as test results. App Center makes it easy to release your app, whether you prefer private distribution, open betas, Microsoft Intune or TestFlight, Google Play or the App Store.

Puppeteer can do most of the things you can do in the browser. Puppeteer core is a lightweight version Puppeteer that can be used to launch an existing browser or to connect to a remote one. Make sure the puppeteer-core version you install is compatible to the browser you want to connect to. People who have used other browser testing frameworks will be familiar with Puppeteer. You create a Browser instance, open pages, then use Puppeteer's API to manipulate them. Puppeteer automatically downloads and uses a particular version of Chromium to ensure that its API works right out of the box. When creating a Browser instance, pass the executable's path to Puppeteer.