Best Code Coverage Tools of 2024

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.

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.

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.

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.

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.

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.

Testwell CTC++ is a powerful instrumentation-based code coverage and dynamic analysis tool for C and C++ code. CTC++ can also be used on Objective-C, Java, and C# code with certain add-on components. CTC++ can also be used with certain add-ons to analyse code on any embedded target machine, even in very small ones (limited RAM, no operating system). CTC++ provides Line Coverage, Statement Coverage, Function Coverage, Decision Coverage, Multicondition Coverage, Modified Condition/Decision Coverage (MC/DC), Condition Coverage. CTC++ is a dynamic analysis tool that displays the execution counters of the code (how many times it has been executed), i.e. CTC++ provides more information than just executed/not executed information. CTC++ can also be used to measure the execution cost of function functions (normally time) or to allow function entry/exit traceability at test time. CTC++ is simple to use.

Gcov is an open-source tool for code-coverage.

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.

Advanced fuzzing solution that combines guided and symbolic execution. This technology is patented by CMU. Mayhem, an advanced fuzz testing solution, dramatically reduces manual testing with autonomous defect detection. You can deliver reliable, secure software in a shorter timeframe, at a lower cost, and with less effort. Mayhem's unique advantage lies in its ability to continuously acquire intelligence about its targets. Mayhem's knowledge increases and it expands its analysis. This allows it to maximize its code coverage. All vulnerabilities reported are exploitable and confirmed risks. Mayhem provides detailed system-level information such as backtraces, memory logs and register state to assist in remediation efforts. This helps speed up issue diagnosis and fixes. Mayhem uses target feedback to automatically generate test cases -- no need for manual testing. Mayhem provides access to all its test cases, making regression testing easy and continuous.

BMC Compuware Xpediter, a collection of debuggers, interactive analysis tools, and debuggers for COBOL, Assembler and PL/I programs, helps developers quickly understand applications and make changes in a secure environment. Even if they don't know the source code, it allows them to quickly fix problems. Xpediter allows developers to quickly jump into interactive testing sessions and move applications into production faster. You can see line-by-line execution of code and manage all aspects of program execution. Code Coverage allows you to view metrics and see proof of execution for multi-platform applications. You can access Abend-AID diagnostic capabilities within a debugging session. Integrate Topaz for Program Analysis to see a graphical representation of the source code. Topaz for Total Test can be used to build a complete portfolio of automated virtualized test cases. Remotely intercept and debug mainframe transactions.

Codase hosts a large number of open source codes, providing better coverage. It covers codes often hidden in compressed files and source control repositories that are difficult for general search engines to index. Codase also indexes and searches only high-quality codes. Every line of code is validated and compiled using an intelligent and powerful source code analysis engine. Codase, a privately owned company located in Silicon Valley, was founded by Dr. Huihong Luo along with other veterans. We are a group made up of passionate and innovative professionals with diverse business backgrounds, technologies and proven track records. Codase is the best source code search engine in the world, both in terms of performance, features and code coverage. Codase may be useful to developers, as we aim to improve your coding productivity.