Best Code Coverage Tools for Slack

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.

Velocity provides detailed, contextual analytics that enable engineering leaders to help their team members, resolve team roadblocks and streamline engineering processes. Engineering leaders can get actionable metrics. Velocity transforms data from commits to pull requests into the insights that you need to make lasting improvements in your team's productivity. Quality: Automated code reviews for test coverage, maintainability, and more so you can save time and merge with confidence. Automated code review comments for pull requests. Our 10-point technical debt assessment gives you real-time feedback so that you can focus on the important things in your code review discussions. You can get perfect coverage every time. Check coverage line-by-line within diffs. Never merge code again without passing sufficient tests. You can quickly identify files that are frequently modified and have poor coverage or maintainability issues. Each day, track your progress towards measurable goals.

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/

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.