Best Code Coverage Tools for GitLab

You know that you could be testing more to catch bugs earlier, but QA testing can take a lot of time, effort and resources to do it right. MuukTest can get growing engineering teams up to 95% coverage of end-to-end tests in just 3 months. Our QA experts create, manage, maintain, and update E2E tests on the MuukTest Platform for your web, API, and mobile apps at record speed. We begin exploratory and negative tests after achieving 100% regression coverage within 8 weeks to uncover bugs and increase coverage. The time you spend on development is reduced by managing your testing frameworks, scripts, libraries and maintenance. We also proactively identify flaky tests and false test results to ensure the accuracy of your tests. Early and frequent testing allows you to detect errors in the early stages your development lifecycle. This reduces the burden of technical debt later on.

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.

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.

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!

Appvance IQ (AIQ), delivers transformative productivity gains and lower costs for both test creation and execution. It offers both AI-driven (fully automated tests) and 3rd-generation codeless scripting for test creation. These scripts are then executed using data-driven functional and performance, app-pen, and API testing -- both for web and mobile apps. AIQ's self healing technology allows you to cover all code with only 10% of the effort required by traditional testing systems. AIQ detects important bugs automatically and with minimal effort. No programming, scripting, logs, or recording are required. AIQ can be easily integrated with your existing DevOps tools, processes, and tools.

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.

grcov aggregates code coverage information from multiple source files. grcov processes.profraw files and.gcda file which can be generated using llvm/clang/gcc. grcov can also process lcov files (for JS cover) and JaCoCo (for Java coverage). Supported operating systems include Windows, macOS, and Linux.

Kcov is a FreeBSD/Linux/OSX code cover tester for compiled languages like Python and Bash. Kcov was originally forked from Bcov. However, it has evolved to support a larger feature set than Bcov. Kcov uses DWARF debugging info for compiled programs, just like Bcov. This makes it possible to collect coverage information with no special compiler switches.

Ruby and GitHub: Actionable test coverage Get insights and checks to help your team deliver healthy code. Stop focusing on 100% coverage of test coverage. Reduce defects in pull requests by notifying when the code hasn't been tested before it is deployed to production. The CI server runs tests, and uploads coverage data for UndercoverCI. This is the only post-installation step. We scan the PR diff to verify local coverage for each class, method, or block. An absolute percentage check is not sufficient. Untested methods and blocks are revealed, as well as unused code paths. This will help you improve your test suite. Explore the Ruby gems family or install UndercoverCI's hosted GitHub app. Easy setup for your organization with a fully-featured GitHub App code inspection integration. The UndercoverCI project, and the related Ruby gems, are completely open-source and can be used locally or in your CI/CD workflows.

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.

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.

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.