Devel::Cover

Devel::Cover

metacpan
RKTracer

RKTracer

RKVALIDATE
RT-LAB

RT-LAB

OPAL-RT TECHNOLOGIES

About

This module provides code coverage metrics for Perl. Code coverage metrics describe how thoroughly tests exercise code. By using Devel::Cover you can discover areas of code not exercised by your tests and determine which tests to create to increase coverage. Code coverage can be considered an indirect measure of quality. Devel::Cover is now quite stable and provides many of the features to be expected in a useful coverage tool. Statement, branch, condition, subroutine, and pod coverage information is reported. Statement and subroutine coverage data should be accurate. Branch and condition coverage data should be mostly accurate too, although not always what one might initially expect. Pod coverage comes from Pod::Coverage. If Pod::Coverage::CountParents is available it will be used instead.

About

The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.

About

RKTracer is a code-coverage and test-analysis tool that enables teams to assess the quality and completeness of their testing across unit, integration, functional, and system-level testing, without altering a single line of application code or build workflow. It supports instrumentation across host machines, simulators, emulators, embedded devices, and servers, and covers a broad array of programming languages, including C, C++, CUDA, C#, Java, Kotlin, JavaScript/TypeScript, Golang, Python, and Swift. It provides detailed coverage metrics such as function, statement, branch/decision, condition, MC/DC, and multi-condition coverage, and even supports delta-coverage reports to show which newly added or modified portions of code are already covered. Integration is seamless; simply prefix your build or test command with “rktracer”, run your tests, then generate HTML or XML reports (for CI/CD systems or dashboards like SonarQube).

About

RT-LAB is OPAL-RT’s real-time simulation software combining performance and enhanced user experience. Fully integrated with MATLAB/Simulink®, RT-LAB offers the most complex model-based design for interaction with real-world environments. It provides the flexibility and scalability to achieve the most complex real-time simulation applications in the automotive, aerospace, power electronics, and power systems industries. Since its first application nearly 20 years ago on the Canadian Space Agency’s Canada Arm, RT-LAB has revolutionized the world of systems engineering, whether in space, on the ground or at sea. RT-LAB enables engineers and scientists to accelerate the development of new prototypes and to meet the most rigorous testing required by new and innovative technologies. RT-LAB handles everything, including code generation, with an easy-to-use interface. With just a few clicks of the mouse, a Simulink® model becomes an interactive real-time simulation application.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Anyone looking for a powerful Code Coverage metric solution for Perl

Audience

Developers interested in a beautiful but advanced programming language

Audience

Embedded-software and multi‐language development teams looking for a tool providing test-coverage visibility, traceability and minimal disruption to existing build/test workflows

Audience

Automotive companies in need of a real-time simulation solution

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

metacpan
metacpan.org/pod/Devel::Cover

Company Information

Python
Founded: 1991
www.python.org

Company Information

RKVALIDATE
Founded: 2020
India
www.rkvalidate.com/code-coverage-tool

Company Information

OPAL-RT TECHNOLOGIES
Founded: 1997
Canada
www.opal-rt.com/software-rt-lab/

Alternatives

BullseyeCoverage

BullseyeCoverage

Bullseye Testing Technology

Alternatives

Alternatives

Alternatives

Simulink

Simulink

MathWorks
JaCoCo

JaCoCo

EclEmma
MATLAB

MATLAB

The MathWorks
RKTracer

RKTracer

RKVALIDATE
blanket.js

blanket.js

Blanket.js
System Composer

System Composer

MathWorks
Devel::Cover

Devel::Cover

metacpan
UberCloud

UberCloud

Simr (formerly UberCloud)
JCov

JCov

OpenJDK

Categories

Categories

Categories

Categories

Integrations

AMD Developer Cloud
Azure DevOps
Best Captcha Solver
DataLab
DbVisualizer
Goose
Linkup
ML Console
Pixee
Restack
RunLve
Sulley
Towhee
Unremot
Upsun
dstack
journy.io
mcp-use
pyglet
statsmodels

Integrations

AMD Developer Cloud
Azure DevOps
Best Captcha Solver
DataLab
DbVisualizer
Goose
Linkup
ML Console
Pixee
Restack
RunLve
Sulley
Towhee
Unremot
Upsun
dstack
journy.io
mcp-use
pyglet
statsmodels

Integrations

AMD Developer Cloud
Azure DevOps
Best Captcha Solver
DataLab
DbVisualizer
Goose
Linkup
ML Console
Pixee
Restack
RunLve
Sulley
Towhee
Unremot
Upsun
dstack
journy.io
mcp-use
pyglet
statsmodels

Integrations

AMD Developer Cloud
Azure DevOps
Best Captcha Solver
DataLab
DbVisualizer
Goose
Linkup
ML Console
Pixee
Restack
RunLve
Sulley
Towhee
Unremot
Upsun
dstack
journy.io
mcp-use
pyglet
statsmodels
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