Alternatives to UnitWise

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!

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.

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.

Catch2 is a unit testing framework in C++. However, it also offers basic micro-benchmarking and BDD macros. Catch2's greatest advantage is its simplicity and natural use. Test names don't have to be valid identifiers. Assertions look like regular C++ boolean expressions. Sections provide a convenient way to share setup and tear down code in tests. The v3 version is currently being developed and you are on the devel branch. v3 introduces a lot of changes. The most significant is that Catch2 is no more a single-header library. Catch2 behaves like a normal library with multiple headers and a separately compiled implementation. It's quick and easy to get started. You only need to download two files and add them to your project. No external dependencies. As long as C++14 can be compiled and the C++ standard library is available. You can write test cases using self-registering functions (or methods, depending on your preference).

Refraction is a tool that generates code for developers. It uses AI to generate code. It can be used to generate unit tests, documentation, and refactor code. You can generate code using AI in 34 languages: C#, C++ and CoffeeScript. Refraction is used by thousands of developers worldwide to create documentation, create unit test cases, refactor code, among other things. AI can automate tedious tasks such as testing, documentation, and revisions so that you can concentrate on the important parts of software development. Refactor, optimize and fix your code. Use various test frameworks to generate unit tests for your code. To make it easier to understand, explain the purpose of your code.

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.

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.

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.

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.

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.

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.

Reduce the time, cost and uncertainty of DataStage delivery. Use MettleCI's extensive collection of best practices to ensure that all jobs adhere to your coding standards. Manage code directly in Git from the DataStage Designer Client, without having to deal with command line headaches. A fully-automated pipeline will help you move your code from Development to Production. MettleCI can build and run your schedule without sequences. Let MettleCI do the heavy lifting for you and ensure that your builds are deployed without issues. No need for complex configuration files, hacking or command lines. Point-and-click is used to test, build, and deploy.

If you are looking for something simple and powerful, Komodo Edit is the editor for you. Komodo IDE offers more robust functionality, including debugging, unit-testing, code refactoring, and code profiling. Software vendors are increasingly at the forefront of security for customers, as one compromised patch or update can make hundreds, or even thousands, of your customers vulnerable to cyberattacks. Don't become the next SolarWinds. Instead of implementing multiple solutions and custom code, ActiveState Platform provides a one-of-a-kind solution that helps protect the integrity and security of open source components that you import, use, and run.

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.

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

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.

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.

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.

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.

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.

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.

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.

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.

Storybook offers a sandbox for building UIs in isolation. This allows you to develop difficult-to-reach states or edge cases. You can create pages and components without having to deal with data, APIs or business logic. Key states of components that are difficult to reproduce in an application can be rendered. To be re-visited during development, testing, or QA, save use cases as stories in plain JavaScript. Addons allow you to customize your workflow, automate testing, integrate with your favorite tools, and make your work easier. Stories are a practical and reproducible way to track UI edge cases. You can reuse stories to power automated tests by writing them once. You get a handy test case for every story you write. You can quickly browse stories to check that your UI is correct. Compare image snapshots of stories to pinpoint UI changes down the pixel. To confirm nuanced functionality, you can use stories in your unit testing. Stories are a way to show how UIs work, not how they should work. This makes it easy to gather feedback and reproduce the UIs.

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.

AppHarbor is a fully-hosted.NET Platform as a service. AppHarbor can deploy any standard.NET app to the cloud. AppHarbor is used every day by thousands of developers and businesses for hosting personal blogs as well as high-traffic web applications. AppHarbor allows you to instantly deploy and scale.NET apps using your favorite versioning tools. It's easy to install add-ons. You can push.NET or Windows code to AppHarbor via Git, Mercurial or Subversion, or Team Foundation Server with the free Git service, or through integrations with Bitbucket CodePlet and GitHub. AppHarbor will build your code once it has been received. If the code compiles, all unit tests in the compiled assemblies are run. On the dashboard, you can monitor the progress and results of the build as well as the status of each unit test. AppHarbor will call any service hooks you add to notify of the build result.

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.

Bright Security is a developer-centric Dynamic Application Security Testing solution (DAST). This allows organizations to ship secure APIs and applications quickly and economically. Its method allows for quick and iterative scanning to identify critical security flaws early in the SDLC, without compromising quality or delivery speed. Bright empowers AppSec teams with governance to secure APIs and web applications while allowing developers to take control of security testing and remediation. Bright's DAST solution, unlike legacy DAST solutions that were designed for AppSec professionals, is easy to deploy and finds vulnerabilities late in the development process. It can be deployed in the Unit Testing phase, and run through the entire SDLC, learning from each scan and optimizing. Bright helps organizations detect and fix vulnerabilities early in the SDLC. This reduces risk and costs.

Nova AI automates a large number of non-productive testing tasks faced by developers during implementation. Our solutions are hidden behind the scenes, and they complete these tasks without requiring your developers to use different tools or interfaces. Automate the generation and execution of unit, integration and end-to-end testing from a single platform. Results and insights are displayed for both the current and newly created tests. We never share any of your data. We have enabled SSL-encrypted transport and industry-standard AES 256-bit encrypted at rest. SOC 2 Type 2 certification is currently being completed.

Confident AI is used by companies of all sizes to prove that their LLM is worth being in production. On a single, central platform, you can evaluate your LLM workflow. Deploy LLM with confidence to ensure substantial benefits, and address any weaknesses within your LLM implementation. Provide ground truths to serve as benchmarks for evaluating your LLM stack. Ensure alignment with predefined output expectation, while identifying areas that need immediate refinement and adjustments. Define ground facts to ensure that your LLM behaves as expected. Advanced diff tracking for iterating towards the optimal LLM stack. We guide you through the process of selecting the right knowledge bases, altering the prompt templates and selecting the best configurations for your use case. Comprehensive analytics to identify focus areas. Use out-of-the box observability to identify use cases that will bring the greatest ROI for your organization. Use metric insights to reduce LLM costs and delays over time.

This allows for parallel collaborative development to reduce rework, visualize, reduce conflict, and lower team risk. It also improves team velocity and throughput. It preserves the integrity of baseline configurations, simplifies rollback, recovery, streamlines approval, and keeps integrity when automating builds or deployments. It is much easier to identify issues early in the lifecycle. CM allows issues can be identified as soon a code commit is made via Pulse. All actions drive shift left: CI build, unit testing and code review. Integration with developer friendly repositories, IDEs (such git, IntelliJ Eclipse, Microsoft.net), detailed auditing, logging, immutable versioning, and history Reduces preparation time and effort for regulatory compliance and audits with a comprehensive audit trail and tamperproof history.

Scapy is an interactive packet manipulation program. It can forge and decode packets from a variety of protocols, send them over the wire, capture them and match requests and responses. It can handle most of the classic tasks such as scanning, tracerouting and probing, attacks, or network detection (it can replace Hping, 85% nmap, arpspoofsk, arping), tcpdumpshark, p0f and tshark). It can also handle a lot more specific tasks than most other tools, such as sending invalid frames, injecting 802.11 frames, combining technologynics (VLAN hopping+ARP caching poisoning, VOIP descoding on WEP encrypted channel), and so forth. Scapy works natively on Linux and Windows as well as OSX and most Unixes that have libpcap. The same code base runs natively on Python 2 and Python 3 Scapy development uses Git version control system. The GitHub repository hosts the Scapy reference repository.

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!

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.

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

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.

dbForge Unit Tests for SQL Server is a graphical user interface (GUI) tool, available as an add-in for SQL Server Management Studio (SSMS). Built on the tSQLt framework, it allows developers to write unit tests in T-SQL within the familiar SSMS interface. Key Features: - Isolated Unit Testing: Avoid affecting the actual database. - Simultaneous Testing: Perform multiple unit tests simultaneously. - DevOps Integration: Integrate unit tests into DevOps processes. - Command Line Execution: Run unit tests via the command line. - T-SQL-based: Write unit tests in T-SQL without additional tools. - tSQLt Framework Management: Easily install and uninstall the tSQLt framework for writing unit tests. - Example Collection: Access a collection of unit test examples for quick standard task performance. - Safe Refactoring: Ensure safe refactoring in large databases. The tool includes a Test List Manager, a tab within the SSMS interface meant for creating, editing, managing, and running unit tests. This integration allows teams to work entirely within SSMS, eliminating the need to learn and switch between different tools, thus fostering a more comfortable environment and efficient performance.

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.

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.

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.

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.

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.

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.

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.

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

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.

NUnit is a unit testing framework for all.Net language languages. Originally ported from JUnit. The current production release, version 3, features many new features and support to a wide variety of.NET platforms. The NUnit Project is a member the.NET Foundation. The.NET Foundation will provide guidance to ensure the project's future. Thanks to the hard work of many of our contributors and team members, NUnit's success has been possible. The Core Team would like to thank everyone for their contributions and help that have made NUnit what it is today. The number of NUnit packages downloaded on NuGet.org has exceeded 126 million. Without the hard work of volunteers who give their time and knowledge to the project, we couldn't have done it. NUnit is Open Source software, and NUnit3 is released under the MIT License.

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