Best Code Coverage Tools for Java

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.

IntelliJ IDEA, a JetBrains IDE, is the leading IDE for Java and Kotlin development. It helps you stay productive with a suite of efficiency-enhancing features such as intelligent coding assistance, reliable refactorings, instant code navigation, built-in developer tools, web and enterprise development support, and much more.

Introducing Xcode 12. Introducing Xcode 12. Xcode 12 creates Universal apps by default to work with Apple Silicon. This is often done without changing a single line. Designed for macOS Big Sur. Xcode 12 looks great in macOS Big Sur. It has a navigator sidebar that extends to the top of your window and clears new toolbar buttons. The default font size for the navigator is a larger one that's easier reading, but you can choose from multiple sizes. You can create a working set within your workspace by creating new document tabs. Document tabs. You can open a new tab by double-clicking, or track the file as you move around the navigator. To create a working set for your current task, you can arrange the document tabs and change how content is displayed within each tab.

Develop healthier code. Improve code quality and workflow. Codecov offers a comprehensive suite of tools that allow you to group, merge and archive coverage reports, as well as compare them. Open source. Plans starting at $10/user per month. Ruby, Python and C++ as well as Javascript are all available. All CI products and workflows can be integrated easily. No setup is required. Automatic report merging for all CI languages and languages into one report. You can get custom statuses for any group of coverage metrics. You can review coverage reports by folder, project, and type (unit tests or integration tests). You can comment the detailed report directly in your pull request. Codecov is SOC 2 Type II Certified. This means that Codecov has been audited by a third party and attested to our security practices.

Debugging should not be complicated. AQTime Pro converts complex performance and memory information into easily digestible and actionable insights that allow you to quickly identify the root cause of bugs. Code bugs can drain your life! AQTime Pro makes it simple to find and squash highly differentiated bugs. You can quickly find memory leaks and performance bottlenecks as well as code coverage gaps with just a few clicks using over a dozen profilers. AQTime Pro allows you to find and fix all bugs in one tool, so you can get back to writing high-quality code. Code profilers shouldn't limit you to a single framework or codebase. They can prevent you from finding performance bottlenecks and memory leaks as well as code coverage gaps that are unique to your project. AQTime Pro can be used across multiple codebases or frameworks in a project. It supports many languages, including C/C++ and Delphi,.NET and Java.

It is now easier than ever to create services with Go thanks to the strong ecosystem of APIs and tools available on major cloud providers. Go allows you to create elegant and fast CLIs using popular open-source packages and a robust standard repository. Go powers fast, scalable web applications thanks to its enhanced memory performance and support of several IDEs. Go supports both DevOps as well as SRE with its fast build times and lean syntax. All you need to know about Go. Get started on a project or refresh your knowledge about Go code. Three sections provide an interactive introduction to Go. Each section ends with a few exercises that allow you to put what you have learned into practice. Anyone can use a web browser to create Go code that we instantly compile, link, then run on our servers.

Codacy is an automated code review tool. It helps identify problems through static code analysis. This allows engineering teams to save time and tackle technical debt. Codacy seamlessly integrates with your existing workflows on Git provider as well as with Slack and JIRA or using Webhooks. Each commit and pull-request includes notifications about security issues, code coverage, duplicate code, and code complexity. Advanced code metrics provide insight into the health of a project as well as team performance and other metrics. The Codacy CLI allows you to run Codacy code analysis locally. This allows teams to see Codacy results without needing to check their Git provider, or the Codacy app. Codacy supports more than 30 programming languages and is available in free open source and enterprise versions (cloud or self-hosted). For more see https://www.codacy.com/

SonarCloud automatically analyzes and decorates pull request branches to maximize your throughput. To prevent undefined behavior from affecting end-users, catch tricky bugs. Security Hotspots will help you identify and fix vulnerabilities that could compromise your app. It takes just a few mouse clicks to get your code up and running. Instant access to the most recent features and enhancements. Project dashboards keep stakeholders and teams informed about code quality and releasability. Show your communities that you care about awesome by displaying project badges. Your entire stack should be concerned about code quality and security. We cover 24 languages, including C++, Java, Python, and many other. Transparency is a good thing and the trend is growing. Join the fun! Open-source projects are completely free!

DeepSource allows you to automatically identify and fix bugs in your code during code reviews. This includes security flaws, anti-patterns and bug risks. It takes less that 5 minutes to create your Bitbucket or GitLab account. It works with Python, Go, Ruby and JavaScript.

Cobertura, a Java tool that calculates how much code has been accessed by tests, is free. It can be used for identifying parts of your Java program that are not covered by tests. It is based upon jcoverage. Cobertura is a free program. It is free software. For more information, please refer to the file LICENSE.txt that is included in this distribution.

JaCoCo is a Java code coverage library that is free and open-source. It was created by the EclEmma group based on lessons learned from integrating libraries over many years. The master branch of JaCoCo can be automatically built and published. Every build is considered fully functional due to the test-driven development approach. For the most recent features and bug fixes, see the change history. SonarCloud.io provides SonarQube code quality metrics for the current JaCoCo implementation. Integrate JaCoCoCo technology into your tools. JaCoCoCo tools are available right out of the box. You can improve the implementation or add new features. There are many open-source Java coverage technologies. The Eclipse plug-in EclEmma was implemented. It was clear that none of them were designed for integration. They are usually only compatible with a specific tool (Ant Tasks, Command Line, IDE Plug-in), and don't offer an API that allows embedding into different contexts.

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.

The JCov open source project is used for gathering quality metrics related to the production of test suites. JCov will be open to allow the verification of regression tests being executed in OpenJDK. JCov's main purpose is transparency in test coverage metrics. OpenJDK developers will have the opportunity to use a code-coverage tool that is in 'lock step with Java language and VM development. This is why we promote standard coverage based JCov. JCov, a Java implementation of a code-coverage tool, provides a way to measure and analyze dynamic Java program code coverage. JCov allows you to see uncovered execution paths and method coverage. It can also show the source code of a program annotated with coverage information. JCov is most useful for testing to determine execution paths.

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.

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.

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.

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.

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.

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.