Best Code Coverage Tools for Visual Studio

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.

All your Python development needs are consolidated in one application. While PyCharm handles routine tasks, you can save precious time and concentrate on more significant projects, fully utilizing its keyboard-centric design to explore countless productivity features. This IDE is well-versed in your code and can be trusted for features like intelligent code completion, immediate error detection, and quick-fix suggestions, alongside straightforward project navigation and additional capabilities. With PyCharm, you can write organized and maintainable code, as it assists in maintaining quality through PEP8 compliance checks, testing support, smart refactoring options, and a comprehensive range of inspections. Created by programmers specifically for other programmers, PyCharm equips you with every tool necessary for effective Python development, allowing you to focus on what matters most. Additionally, PyCharm's robust navigation and automated refactoring features further enhance your coding experience, ensuring that you remain efficient and productive throughout your projects.

NCrunch provides real-time tracking of your code coverage, displaying markers alongside your code for easy identification of areas with high or low coverage. This feature simplifies the process of recognizing coverage distribution across your project. Designed specifically for large and intricate projects, NCrunch has been refined over the past 12 years to accommodate the demands of extensive systems that include millions of lines of code and thousands of tests. It captures a wide array of test-related data, leveraging this information to deliver essential feedback as promptly as possible. The system prioritizes tests that have been affected by your recent code modifications, utilizing advanced IL-based change mapping for optimal performance. Additionally, NCrunch allows for offloading build and testing tasks to other machines, enabling you to distribute the workload across connected systems or even scale up to cloud resources. This collaborative approach facilitates resource sharing among developers, empowering teams to combine their testing capabilities effectively. Ultimately, this innovative functionality enhances the efficiency and productivity of the software development process.

Debugging should be straightforward, and AQTime Pro transforms intricate memory and performance data into clear, actionable insights, allowing for rapid identification of bugs and their underlying causes. While the process of locating and resolving unique bugs can often be laborious and complex, AQTime Pro simplifies this task significantly. With a suite of over a dozen profilers, it enables you to detect memory leaks, performance issues, and code coverage deficiencies with just a few clicks. This powerful tool empowers developers to eliminate all types of bugs efficiently, helping them return their focus to producing high-quality code. Don’t let code profiling tools limit you to a single codebase or framework, which can hinder your ability to uncover performance issues, memory leaks, and code coverage gaps specific to your project. AQTime Pro stands out as the versatile solution that can be employed across various codebases and frameworks within a single project. Its extensive language support includes popular programming languages such as C/C++, Delphi, .NET, Java, and more, making it an invaluable asset for diverse development environments. With AQTime Pro at your disposal, you can streamline your debugging process and enhance your coding efficiency like never before.

Coco® is a versatile tool designed for measuring code coverage across multiple programming languages. It utilizes automatic instrumentation of source code to assess the coverage of statements, branches, and conditions during testing. When a test suite is executed against this instrumented application, it generates data that can be thoroughly analyzed later. Through this analysis, developers can gain insights into the extent of source code tested, identify gaps in test coverage, determine which additional tests are necessary, and observe changes in coverage over time. Moreover, it helps in pinpointing redundant tests, as well as identifying untested or obsolete code segments. By evaluating the effect of patches on both the code and the overall coverage, Coco provides a comprehensive overview of testing efficacy. It supports various coverage metrics, including statement coverage, branch coverage, and Modified Condition/Decision Coverage (MC/DC), making it adaptable for diverse environments such as Linux, Windows, and real-time operating systems. The tool is compatible with various compilers, including GCC, Visual Studio, and embedded compilers. Users can also choose from different report formats, including text, HTML, XML, JUnit, and Cobertura, to suit their needs. Additionally, Coco can seamlessly integrate with a multitude of build, testing, and continuous integration frameworks, such as JUnit, Jenkins, and SonarQube, enhancing its utility in a developer's workflow. This comprehensive range of features makes Coco an essential asset for any team focused on ensuring high-quality software through effective testing practices.

Thanks to a comprehensive array of tools and APIs available from leading cloud providers, developing services in Go has never been more accessible. The language's extensive open-source libraries, combined with its powerful standard library, make it ideal for crafting swift and sophisticated command-line interfaces. Go's exceptional memory management and compatibility with multiple integrated development environments enhance its capability to drive rapid and scalable web applications. With quick compilation times and a clean syntax, along with built-in formatting and documentation tools, Go is tailored to meet the needs of both DevOps professionals and site reliability engineers. This is a deep dive into everything related to Go. Whether you are embarking on a fresh project or looking to refine your existing Go skills, there’s a structured interactive introduction that is divided into three parts. Each part offers practical exercises to reinforce your understanding, and the Playground feature allows users to write Go code directly in a browser, which is then compiled, linked, and executed on our servers instantly. This hands-on approach makes learning Go not only effective but also enjoyable.

Operating systems such as Linux, Windows, RTOS, and others are utilized, along with compilers like gcc, Visual Studio, and various embedded options. By consolidating multiple execution reports, users can achieve enhanced analysis and a range of superior functionalities. Additionally, Coco's integrated Function Profiler allows for the evaluation and optimization of code performance, ensuring that developers can fine-tune their applications effectively. This comprehensive toolset ultimately empowers programmers to elevate their coding efficiency.

NCover Desktop is a Windows-based tool designed to gather code coverage data for .NET applications and services. Once the coverage data is collected, users can view comprehensive charts and metrics through a browser interface that enables detailed analysis down to specific lines of source code. Additionally, users have the option to integrate a Visual Studio extension known as Bolt, which provides integrated code coverage features, showcasing unit test outcomes, execution times, branch coverage visualization, and highlighted source code directly within the Visual Studio IDE. This advancement in NCover Desktop significantly enhances the accessibility and functionality of code coverage solutions. By measuring code coverage during .NET testing, NCover offers insights into which parts of the code were executed, delivering precise metrics on unit test coverage. Monitoring these statistics over time allows developers to obtain a reliable gauge of code quality throughout the entire development process, ultimately leading to a more robust and well-tested application. By utilizing such tools, teams can ensure a higher standard of software reliability and performance.

OpenCppCoverage is a free and open-source tool designed for measuring code coverage in C++ applications on Windows platforms. Primarily aimed at enhancing unit testing, it also aids in identifying executed lines during program debugging. The tool is compatible with compilers that generate program database files (.pdb) and allows users to execute their programs without the need for recompilation. Users can exclude specific lines based on regular expressions, and it offers coverage aggregation, enabling the merging of multiple coverage reports into a singular comprehensive document. It requires Microsoft Visual Studio 2008 or newer, including the Express edition, although it may also function with earlier versions of Visual Studio. Furthermore, tests can be conveniently run through the Test Explorer window, streamlining the testing process for developers. This versatility makes OpenCppCoverage a valuable asset for those focused on maintaining high code quality.

dotCover is a powerful code coverage and unit testing tool designed for .NET that seamlessly integrates into Visual Studio and JetBrains Rider. This tool allows developers to assess the extent of their code's unit test coverage while offering intuitive visualization features and is compatible with Continuous Integration systems. It effectively calculates and reports statement-level code coverage for various platforms including .NET Framework, .NET Core, and Mono for Unity. As a plug-in to popular IDEs, dotCover enables users to analyze and visualize coverage directly within their coding environment, facilitating the execution of unit tests and the review of coverage outcomes without having to switch contexts. Additionally, it boasts support for customizable color themes, new icons, and an updated menu interface. Bundled with a unit test runner shared with ReSharper, another JetBrains product for .NET developers, dotCover enhances the testing experience. It also supports continuous testing, allowing it to dynamically identify which unit tests are impacted by code modifications as they occur. This real-time analysis ensures that developers can maintain high code quality throughout the development process.

Experience the power of CodeRush features immediately and witness their incredible capabilities. With robust support for C#, Visual Basic, and XAML, it offers the fastest .NET testing runner available, state-of-the-art debugging, and an unparalleled coding experience. Effortlessly locate symbols and files within your project and swiftly navigate to relevant code elements based on the current context. CodeRush boasts Quick Navigation and Quick File Navigation functionalities, streamlining the process of finding symbols and accessing files. Additionally, the Analyze Code Coverage feature enables you to identify which sections of your solution are safeguarded by unit tests, highlighting areas that may be vulnerable within your application. The Code Coverage window provides a detailed view of the percentage of statements covered by unit tests across each namespace, type, and member in your solution, empowering you to enhance your code quality effectively. By utilizing these features, you can significantly elevate your development workflow and ensure better application reliability.

Testwell CTC++ is an advanced tool that focuses on instrumentation-based code coverage and dynamic analysis specifically for C and C++ programming languages. By incorporating additional components, it can also extend its functionality to languages such as C#, Java, and Objective-C. Moreover, with further add-ons, CTC++ is capable of analyzing code on a wide range of embedded target machines, including those with very limited resources, such as minimal memory and lacking an operating system. This tool offers various coverage metrics, including Line Coverage, Statement Coverage, Function Coverage, Decision Coverage, Multicondition Coverage, Modified Condition/Decision Coverage (MC/DC), and Condition Coverage. As a dynamic analysis tool, it provides detailed execution counters, indicating how many times each part of the code is executed, which goes beyond simple executed/not executed data. Additionally, users can utilize CTC++ to assess function execution costs, typically in terms of time taken, and to activate tracing for function entry and exit during testing phases. The user-friendly interface of CTC++ makes it accessible for developers seeking efficient analysis solutions. Its versatility and comprehensive features make it a valuable asset for both small and large projects.

BullseyeCoverage is an innovative tool designed for C++ code coverage that aims to enhance the quality of software in critical sectors such as enterprise applications, industrial automation, healthcare, automotive, telecommunications, and the aerospace and defense industries. The function coverage metric allows developers to quickly assess the extent of testing and highlights regions that lack coverage entirely. This metric is invaluable for enhancing overall coverage across various facets of your project. On a more granular level, condition/decision coverage offers insights into the control structure, enabling targeted improvements in specific areas, particularly during unit tests. Compared to statement or branch coverage, C/D coverage delivers superior detail and significantly boosts productivity, making it a more effective choice for developers striving for thorough testing. By incorporating these metrics, teams can ensure their software is robust and reliable, meeting the high standards required in critical applications.

Coverlet functions with the .NET Framework on Windows and with .NET Core across all compatible platforms. It provides coverage specifically for deterministic builds. Currently, the existing solution is less than ideal and requires a workaround. For those who wish to view Coverlet's output within Visual Studio while coding, various add-ins are available depending on the platform in use. Additionally, Coverlet seamlessly connects with the build system to execute code coverage post-testing. Activating code coverage is straightforward; you simply need to set the CollectCoverage property to true. To use the Coverlet tool, you must indicate the path to the assembly housing the unit tests. Furthermore, you are required to define both the test runner and the associated arguments by utilizing the --target and --targetargs options. It's crucial that the invocation of the test runner with these arguments does not necessitate recompiling the unit test assembly, as this would prevent the generation of coverage results. Proper configuration and understanding of these aspects will ensure a smoother experience when using Coverlet for code coverage.

Our platform uses a variety of security techniques, including feedback-based fuzz testing and coverage-guided fuzz testing, in order to generate millions upon millions of test cases that trigger difficult-to-find bugs deep in your application. This white-box approach helps to prevent edge cases and speed up development. Advanced fuzzing engines produce inputs that maximize code coverage. Powerful bug detectors check for errors during code execution. Only uncover true vulnerabilities. You will need the stack trace and input to prove that you can reproduce errors reliably every time. AI white-box testing is based on data from all previous tests and can continuously learn the inner workings of your application. This allows you to trigger security-critical bugs with increasing precision.

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.

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.