About
The JCov open-source project is used to gather quality metrics associated with the production of test suites. JCov is being opened in order to facilitate the practice of verifying test execution of regression tests in OpenJDK development. The main motivation behind JCov is the transparency of test coverage metrics. The advantage to promoting standard coverage based on JCov is that OpenJDK developers will be able to use a code coverage tool that stays in the 'lock step' with Java language and VM developments. JCov is a pure java implementation of a code coverage tool that provides a means to measure and analyze dynamic code coverage of Java programs. JCov provides functionality to collect method, linear block, and branch coverage, as well as show uncovered execution paths. It is also able to show a program's source code annotated with coverage information. From a testing perspective, JCov is most useful to determine execution paths.
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About
Are bugs slipping through your QA process and frustrating your customers? Catching issues early shouldn’t mean overwhelming your team with time-consuming tests. With MuukTest’s AI-driven platform, growing engineering teams reach 95% end-to-end test coverage in just 3 months, delivering quality at speed.
By leveraging AI, our QA experts rapidly design, manage, and maintain comprehensive E2E tests for web, mobile, and API applications on the MuukTest platform. Within 8 weeks, we deliver full regression coverage, followed by exploratory and negative testing to uncover hidden bugs and expand test scenarios.
We also proactively identify and address flaky tests and false results to ensure the reliability of your tests. Testing early and often allows you to detect bugs in the early stages of your development lifecycle, reducing the burden of technical debt down the line.
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About
Coverage provides coverage data collection, manipulation, and formatting for Dart. Collect_coverage collects coverage JSON from the Dart VM Service. format_coverage formats JSON coverage data into either LCOV or pretty-printed format.
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About
A simple command-line tool to collect test coverage information from Dart VM tests. It is useful if you need to generate coverage reports locally during development.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Developers seeking a solution to gather quality metrics associated with the production of test suites
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Audience
Engineering teams in search of a solution to design, manage and maintain E2E tests for their apps
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Audience
IT teams looking for an advanced Code Coverage solution
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Audience
Developers in need of a powerful Code Coverage solution
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
$6000 per month
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationOpenJDK
United States
wiki.openjdk.org/display/CodeTools/jcov
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Company InformationMuukTest
Founded: 2019
United States
muuktest.com
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Company Informationpub.dev
pub.dev/packages/coverage
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Company Informationpub.dev
pub.dev/packages/test_coverage
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Alternatives |
Alternatives |
Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
Categories |
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API Testing Features
Functional Testing
Fuzz Testing
Load Testing
Penetration Testing
Runtime and Error Detection
Security Testing
UI Testing
Validation Testing
Automated Testing Features
Hierarchical View
Move & Copy
Parameterized Testing
Requirements-Based Testing
Security Testing
Supports Parallel Execution
Test Script Reviews
Unicode Compliance
Mobile App Testing Features
Functional Testing
Installation Testing
Interruption Testing
Memory Testing
Performance Testing
Usability Testing
Software Testing Features
Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing
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Integrations
AWS CodePipeline
Amazon Corretto
Apache NetBeans
Appium
Azure DevOps
BrowserStack
CircleCI
Codecov
Dart
GitLab
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Integrations
AWS CodePipeline
Amazon Corretto
Apache NetBeans
Appium
Azure DevOps
BrowserStack
CircleCI
Codecov
Dart
GitLab
|
Integrations
AWS CodePipeline
Amazon Corretto
Apache NetBeans
Appium
Azure DevOps
BrowserStack
CircleCI
Codecov
Dart
GitLab
|
Integrations
AWS CodePipeline
Amazon Corretto
Apache NetBeans
Appium
Azure DevOps
BrowserStack
CircleCI
Codecov
Dart
GitLab
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