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Description
Coco is a comprehensive code coverage solution designed for modern software development across both embedded systems and desktop applications. It empowers developers, QA engineers, and compliance teams to measure and improve test coverage through function, branch, decision, condition, and MC/DC coverage metrics. With support for multiple languages and toolchains—including GCC, Clang, MSBuild, ARM, QNX, and Green Hills—Coco integrates seamlessly into existing CI/CD workflows without requiring code refactoring. Teams can quickly detect coverage gaps, streamline regression testing, and remove redundant test cases to shorten validation cycles. For regulated industries like automotive, aerospace, and healthcare, Coco delivers qualification kits and pre-built certification artifacts to support ISO 26262 and DO-178C compliance. The Coco Cross-Compilation Add-on extends capabilities to embedded Linux, RTOS, and bare-metal targets, offering full traceability from test execution to certification. Its integration with Test Center provides real-time analytics, visualization, and organization-wide reporting for test intelligence. With Coco, development teams gain transparency, speed, and trust in every release cycle.
Description
Coverage.py serves as a powerful utility for assessing the code coverage of Python applications. It tracks the execution of your program, recording which segments of the code have been activated, and subsequently reviews the source to pinpoint areas that could have been executed yet remained inactive. This measurement of coverage is primarily utilized to evaluate the efficacy of testing efforts. It provides insights into which portions of your code are being tested and which are left untested. To collect data, you can use the command `coverage run` to execute your test suite. Regardless of how you typically run your tests, you can incorporate coverage by executing your test runner with the coverage tool. If the command for your test runner begins with "python," simply substitute the initial "python" with "coverage run." To restrict coverage evaluation to only the code within the current directory and to identify files that have not been executed at all, include the source parameter in your coverage command. By default, Coverage.py measures line coverage, but it is also capable of assessing branch coverage. Additionally, it provides information on which specific tests executed particular lines of code, enhancing your understanding of test effectiveness. This comprehensive approach to coverage analysis can significantly improve the quality and reliability of your codebase.
API Access
Has API
API Access
Has API
Integrations
C
Axivion Static Code Analysis
C#
C++
Codecov
Coverity Static Analysis
Django
FreeRTOS
Git
GitLab
Integrations
C
Axivion Static Code Analysis
C#
C++
Codecov
Coverity Static Analysis
Django
FreeRTOS
Git
GitLab
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Qt Group
Founded
1994
Country
Finland
Website
www.qt.io/quality-assurance/coco
Vendor Details
Company Name
Coverage.py
Country
United States
Website
coverage.readthedocs.io/en/7.0.0/
Product Features
Static Code Analysis
Analytics / Reporting
Code Standardization / Validation
Multiple Programming Language Support
Provides Recommendations
Standard Security/Industry Libraries
Vulnerability Management