Best Software Testing Tools for NUnit

Next-gen browser for building, testing and debugging mobile websites. You can test the website on various pre-installed mobile device views ports. LT Browser is a mobile browser that allows you to view the website in both iOS and android resolutions. Can't find your favorite device? LT Browser allows you to create your own device view port and save it for later use. You can create new mobile, tablet, or desktop devices to test your website. You can also test the screen resolution on different devices. Screen resolution testing can be done on different screen sizes. Mobile website testing doesn't require you to switch between two devices. LT Browser allows you to test two devices simultaneously. You can perform mobile website testing on different sizes of tablet and desktops, and inspect websites on different resolutions simultaneously. LT Browser includes DevTools that allow you to simultaneously test responsiveness on multiple devices. You can test website on different resolutions using separate DevTools.

For agile development, Eclipse, IntelliJ and Visual Studio can be used to build, test, and deploy new features. You can build, test, and then deploy in one integrated environment. This allows you to focus on the important thing, code. TestLeft, a developer automated test tool, can be added to your integrated developmental environment (IDE). This allows you to immediately test the UI for new features as soon as they are built. TestLeft lets you test at both the UI and unit levels. This allows you to fix defects sooner in the product's lifecycle, which saves you time and allows you to code more. Functional tests can be run faster by not having to manually program descriptions for each object. This will allow you to accelerate your shift left efforts. TestLeft can be added to Visual Studio, Eclipse or IntelliJ. You can skip additional steps by adding TestLeft UI Spy to any existing DevOps pipeline. You can test the UI layer of your application with support for Jenkins, Bamboo and other popular CI/CD tools.

Testmo allows you to manage all your test cases, sessions and automation. Unified test management, lightning fast UI, rich integrations & reports. Works with Jira, GitHub, GitLab & more. Fully integrated, the most productive tool for managing test cases. Testmo's flexible management of test cases allows you to easily manage test cases, track test results and record test runs. Fully customizable, integrated into your existing tools and optimized for productivity. Testmo’s test management platform offers first-class features such as exploratory testing, session and note management. Manage your test sessions, ad hoc tests and release cycles for continuous delivery and fast-release cycles. Full test automation integration for your existing testing tools and CI pipelines. Automate the submission of results, tracking tests, and reporting failures. Works with any language, tool, or platform. All test automation results are stored in one central location, regardless of which tools you use.

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.

Even if you have the best developers, every test makes them slower. 80% of your software testing is pointless. The problem is that you don't know which 20%. We use your data to find the right 20% so you can ship faster. We offer shrink-wrapped predictive testing selection. This machine learning-based method is used by companies like Facebook and can be used by all companies. We support multiple languages, test runners and CI systems. Bring Git. Launchable uses machine-learning to analyze your source code and test failures. It doesn't rely solely on code syntax analysis. Launchable can easily add support for any file-based programming language. This allows us to scale across projects and teams with different languages and tools. We currently support Python, Ruby and Java, JavaScript and Go, as well as C++ and C++. We regularly add new languages to our support.