Alternatives to Typemock

Sahi Pro is a suite automation tools for web, Web-services, Windows desktop and Java applications. Sahi Pro features include automatic waits, recorders and accessor spy, inbuilt frame and editor, parallel playback, automatic reporting, automatic logging, and reporting. Also, Sahi Pro can save 70% of the time and effort that is normally spent on test automation. Sahi Pro has been trusted by more than 400 companies around the world and is quickly becoming the preferred tool for test automation in the agile world.

You know that you could be testing more to catch bugs earlier, but QA testing can take a lot of time, effort and resources to do it right. MuukTest can get growing engineering teams up to 95% coverage of end-to-end tests in just 3 months. Our QA experts create, manage, maintain, and update E2E tests on the MuukTest Platform for your web, API, and mobile apps at record speed. We begin exploratory and negative tests after achieving 100% regression coverage within 8 weeks to uncover bugs and increase coverage. The time you spend on development is reduced by managing your testing frameworks, scripts, libraries and maintenance. We also proactively identify flaky tests and false test results to ensure the accuracy of your tests. Early and frequent testing allows you to detect errors in the early stages your development lifecycle. This reduces the burden of technical debt later on.

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.

Qodo, formerly Codium, analyzes your code to find bugs before you release. Qodo maps the behaviors of your code, identifies edge cases and tags anything suspicious. It then generates meaningful and clear unit tests that match the behavior of your code. You can see how your code behaves and how changes to your code affect the rest of the code. Code coverage is broken. Meaningful tests check functionality and give you the confidence to commit. Spend less time writing questionable tests and more time developing features that are useful to your users. Qodo analyzes your code, docstring and comments to suggest tests as you type. You only need to add them to your suite. Qodo focuses on code integrity. It generates tests that help you understand your code, find edge cases and suspicious behavior; and make your code more robust.

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 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.

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.

JustMock allows for you to quickly isolate your testing scenario and let you focus on the logic that you want to verify. It seamlessly integrates with your favorite unit-testing framework, making mocking and unit testing quick and easy. Mock all types, including non-virtual methods and sealed classes. This tool is ideal for unit testing your.NET codes, whether you are dealing with legacy code that is difficult to maintain or code that has been written using best practices. The JustMock Debug Window allows you to find the answers you need while debugging your unit test code. It can help you identify the arguments that your mock object is called with, as well as why it isn't called or repeated. JustMock allows for critical feedback on the quality and completeness of your unit test code. This is a must-have for any organization that wants to produce high-quality code.

You can instantly try your first CodeRush feature and discover how powerful it is. Refactoring for C# and Visual Basic. The fastest test.NET runner, next-generation debugging and the most efficient coding experience. You can quickly find symbols and files within your solution and navigate to code constructions relevant to the current context. CodeRush also includes Quick Navigation and Quick File Navigation, which make it quick and easy to locate symbols and open files. Analyze Code Coverage allows you to see which parts of your solution are covered and pinpoint the risky parts. The Code Coverage window displays the percentage of statements that have been covered by unit testing for each namespace, type and member of your solution.

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.

PHPUnit needs the dom, json extensions. These extensions are usually enabled by default. PHPUnit also needs the reflection, pcre and spl extensions. These extensions are default enabled and cannot be disabled without patching PHP’s build system or C sources. To use the code coverage report feature, you will need to have the Xdebug (2.7.0 and later) and tokenizer extensions. The xmlwriter extension is required to generate XML reports. Unit tests are intended to be a good practice for developers to identify and fix bugs, refactor code, and serve as documentation for the unit of software being tested. Unit tests should cover all possible paths within a program to reap these benefits. A unit test typically covers one path within a function or method. A test method is not always an independent, encapsulated entity. There are often implicit dependencies between test method, which are hidden in the test's implementation scenario.

Appvance IQ (AIQ), delivers transformative productivity gains and lower costs for both test creation and execution. It offers both AI-driven (fully automated tests) and 3rd-generation codeless scripting for test creation. These scripts are then executed using data-driven functional and performance, app-pen, and API testing -- both for web and mobile apps. AIQ's self healing technology allows you to cover all code with only 10% of the effort required by traditional testing systems. AIQ detects important bugs automatically and with minimal effort. No programming, scripting, logs, or recording are required. AIQ can be easily integrated with your existing DevOps tools, processes, and tools.

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.

OneTest Embedded makes it easy to automate the creation and deployment component test harnesses. OneTest Embedded allows you to profile memory and performance, analyze code coverage, and visualize program execution behavior with just one click. OneTest Embedded also helps you be more proactive in debugging and assists in fixing any broken code. It allows for a virtual cycle to test generation and execution, as well as reviewing, reviewing, and testing improvement to quickly achieve full coverage. It takes just one click to build, execute on the target and generate reports. This helps to prevent program crashes and performance issues. It can also be modified to work with embedded software memory management methods. This provides insight on thread execution and switching, which allows for a deeper understanding of the behavior of the system being tested.

Mocking is a method to make testing code more readable and manageable. In the following articles, I will explain the features, quirks, and basics of the MockK library. It is an open-source library (github repositories) that aims to make mocking in Kotlin great. Injection matches properties first by name, then by superclass or class. For customization, check the lookupType parameter. Even if the private option is used, properties are still injected. The greatest number of arguments is considered to be the most important.

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.

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.

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.

You can save time and money by finding and fixing problems earlier. You can reduce the time and expense of delivering high quality software by avoiding costly and more complex problems later. Ensure that your C# and VB.NET codes comply with a wide variety of safety and security industry standards. This includes the requirement traceability required and the documentation required for verification. Parasoft's C# tool, Parasoft dotTEST automates a wide range of software quality practices to support your C# or VB.NET development activities. Deep code analysis uncovers reliability issues and security problems. Automated compliance reporting, traceability of requirements, code coverage and code coverage are all key factors in achieving compliance for safety-critical industries and security standards.

Writing unit tests can be difficult and sometimes, good design must be sacrificed in order to ensure testability. Sometimes testability is synonymous with good design. However, this is not always true. Final classes and methods can't be used, private methods may need to be protected, or unnecessarily transferred to a collaborator. Static methods should be avoided entirely due to the limitations of existing frameworks. PowerMock is a framework which extends other mock libraries like EasyMock with greater capabilities. PowerMock employs a custom classloader, bytecode manipulation, and allows mocking of static methods and constructors. Private methods can also be used, as well as removal of static initializers. A custom classloader is not required to be modified to the IDE or continuous Integration Servers. This simplifies adoption.

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.

All Go developers, whether they are newbies or professionals, can use the on-the-fly error identification and suggestions to fix it. One-step undo and intelligent code completion are all available. Documentation hints and dead code detection are also available. It takes a lot of effort and time to understand legacy, team, and foreign projects. GoLand code navigation allows you to quickly switch between shadowed methods, implementations and usages. You can jump between files, types, and other symbols. You can also find their usages, and examine them with a convenient grouping by type. You can run and debug your applications with powerful built-in tools. You can create and debug tests with no additional plugins or configuration work, and you can test your applications directly in the IDE. The IDE includes a built-in Code Coverage tool to ensure that your tests do not miss any important information.

You should balance your time writing applications with testing code. The most advanced code coverage tool for Java or Groovy. OpenClover measures Java and Groovy code coverage and collects more than 20 code metrics. OpenClover not only shows you the untested areas of your app, but also combines coverage metrics to identify the most risky code. The Test Optimization feature shows you which test cases are related each class of your code. This feature allows OpenClover to run tests that are relevant to changes in your application code. This greatly reduces test execution time. Are testing getters and setters of value? Or machine-generated code. OpenClover is more flexible than other tools when it comes to defining the coverage measurement. You can exclude files, files, classes and methods as well as single statements. You can concentrate on testing the most important parts of your code. OpenClover records test results and measures code coverage for each test.

Early is an AI tool that automates the generation and maintenance unit tests. It improves code quality and accelerates development processes. Early integrates with Visual Studio Code to allow developers to create verified and validated tests directly from the codebase. This covers a variety of scenarios including edge cases and happy paths. This approach increases code coverage and helps identify potential issues earlier in the development cycle. Early supports TypeScript and JavaScript languages and is compatible with test frameworks like Jest and Mocha. The tool provides a seamless experience, allowing users to quickly access generated tests and refine them to meet specific requirements. Early automates the testing process to reduce the impact on bugs, prevent code regressions, and boost development speed, ultimately leading to a release of better-quality software.

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.

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.

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.

Coverage.py can be used to measure the code coverage of Python programs. It monitors your program and notifies you which parts have been executed. Then it analyzes the source code to find code that could have been executed. It is used to measure the effectiveness of tests. It can help you determine which parts of your code are being used by tests and which are not. Coverage run can be used to run your test suite, gather data, and run it again. You can run your test suite as usual, but your test runner can be run under coverage. If your test runner command begins with "python", replace it with "coverage run". To limit the coverage measurement to code in your current directory and to find files that were not executed, add the source argument (to your coverage command line). It will default measure line (or statement) coverage. It can also measure branch coverage. It can also tell you which tests were run on which lines.

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.

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.

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.

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

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.

It works with.NET Framework for Windows and.NET Core for all supported platforms. Coverlet supports coverage for deterministic builds. Unfortunately, the solution is not ideal and requires a workaround. Depending on your platform, the following addins can be used to visualize coverlet output in Visual Studio. Coverlet integrates with the build system for code coverage after tests. It is as easy as setting the CollectCoverage property true to enable code coverage. The path to the assembly containing the unit tests is what invokes the coverlet tool. Also, specify the test runner and arguments to pass to it using the --targetargs and --targetargs options. If you provide the arguments, the invocation of test runner must not result in a recompilation or deletion of the unit test assembly.

We help you deliver code confidently. Open-source repositories are free. Pro accounts are available for private repositories. Sign up instantly through Bitbucket and Gitlab. It is vital to maintain a well-tested codebase. It can be difficult to identify the areas where your tests are failing. It's not difficult to find where your tests are lacking. You already run your tests on a continuous-integration server. Coveralls works in conjunction with your CI server to scan your coverage data and find issues before they become a problem. If you are only running your code coverage locally you won't see any changes or trends that occurred during your entire development cycle. Coveralls allows you to view every detail of your coverage, with unlimited history. Coveralls makes it easy to track your code coverage. You can see where you stand with untested code. You can be confident that your code is protected.

This module provides Perl code coverage metrics. This module provides code coverage metrics for Perl. They show how thoroughly tests use code. Devel::Cover allows you to identify areas of code that are not being used by your tests. You can also determine which tests to add to increase coverage. Code coverage can be considered an indirect indicator of quality. Devel::Cover has many of the features you would expect in a useful coverage tool. Reports include information on the coverage of statements, branches, conditions, subroutines, and pods. Subroutine and statement coverage data should be accurate. Although not always as accurate as one might expect, branch and condition coverage data should be generally accurate. Pod coverage is derived from Pod::Coverage. If Pod::Coverage::CountParents is available it will be used instead.

Coco®, a tool for multi-language code coverage, is available. Automated source code instrumentation can be used to measure test coverage for statements, branches, and conditions. When a test suite is run against an instrumented application, data can be collected that can be later analyzed. This analysis can be used for understanding how much of the source code was touched by tests, which additional test suites need to be written, and how the test coverage has changed over time. Identify dead or untested code, redundant tests, and untested code. Identify the impact of a patch and code coverage. Coco supports branch coverage, statement coverage, MC/DC, and other levels. Linux, Windows, RTOS, and other platforms. GCC, Visual Studio and embedded compilers are all available. You can choose from text, HTML, XML and Cobertura report formats. Coco can also integrate with other build, test, and CI frameworks such as JUnit Jenkins, SonarQube, and SonarQube.

A seamless JavaScript code coverage library. Blanket.js, a JavaScript code coverage tool, is easy to install, use, and understand. Blanket.js is easy to use and can be customized to your specific needs. JavaScript code coverage complements your JavaScript tests by including code coverage statistics (which lines in your source code are covered) Parsing the code with Esprima and Node-falafel and instrumenting the file using code tracking lines. After the tests are completed, connect to hooks in test runner to get the coverage details. Grunt has been made to allow Blanket to be used as a code coverage tool. This allows you to create instrumented copies from physical files instead of live-instrumenting. PhantomJS runs the QUnit-based Blanket report without any input. The console displays the results. Grunt will fail if you don't meet any coverage thresholds.

BullseyeCoverage, an advanced C++ code cover tool, is used to improve software quality in vital systems like enterprise applications, industrial control and communications. Function coverage gives you an overview of testing completion and highlights areas that are not covered. This metric can be used to increase coverage in all areas of your project. Condition/decision coverage provides details at the control structure level. This metric can be used to achieve high coverage in certain areas, such as unit testing. C/D coverage is more detailed than branch coverage or statement coverage and can be used to achieve higher productivity than more complex coverage metrics.

Ruby and GitHub: Actionable test coverage Get insights and checks to help your team deliver healthy code. Stop focusing on 100% coverage of test coverage. Reduce defects in pull requests by notifying when the code hasn't been tested before it is deployed to production. The CI server runs tests, and uploads coverage data for UndercoverCI. This is the only post-installation step. We scan the PR diff to verify local coverage for each class, method, or block. An absolute percentage check is not sufficient. Untested methods and blocks are revealed, as well as unused code paths. This will help you improve your test suite. Explore the Ruby gems family or install UndercoverCI's hosted GitHub app. Easy setup for your organization with a fully-featured GitHub App code inspection integration. The UndercoverCI project, and the related Ruby gems, are completely open-source and can be used locally or in your CI/CD workflows.

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

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.

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.

Diffblue Cover analyzes Java programs and creates unit regression tests that accurately reflect the current behavior. The CLI tool is 100% self-configuring and can be used in your Gradle or Maven environment. The CLI tool automates the test-writing process and provides a speed boost to organizations working towards achieving DevOps goals such as CI/CD. The CLI tool fits in a CI pipeline and protects the entire codebase from regressions by shifting testing to the left. Diffblue Cover's unit tests for regression are fast and verify any code changes immediately. This allows users to detect unwanted changes in code behavior as soon as possible. Teams can save even more time by having tests automatically maintained.

Deep Cover is designed to provide the best coverage for Ruby code. You can get more precise line coverage and branch coverage. It can be used to replace the built-in Coverage Library. It provides a better picture of your code usage. A line is considered covered if it is executed completely. Optionally, branch coverage can detect if certain branches are not taken. MRI considers all methods defined, even those defined on objects, via define_method, class_eval and others. DeepCover covers all blocks and defs for Istanbul output. DeepCover does not consider loops to be branches but it is easy to support them if necessary. DeepCover needs to be configured and only a small amount of code is loaded. Coverage is not started even though coverage has been started. Deep-cover can be used to inject itself into existing Coverage libraries to make it easier for projects to transition.

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.

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.

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

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.

Run UI, performance, and unit tests on your Xcode project. You can use the XCTest framework for unit testing your Xcode projects. These tests integrate seamlessly into Xcode's test workflow. Tests verify that certain conditions are met during code execution and report failures (with optional messages), if they aren't. To validate user interaction flows, tests can interact with the UI of an application to measure code performance. A test method is a small and self-contained method that tests one part of your code. A test case is a collection of related test methods. To confirm that your code works as expected, add test cases and test method to a test target. This class is the primary one for testing, defining and executing test methods. A base class that can be used to create, manage, and execute tests.