CodeRush

CodeRush

DevExpress
Devel::Cover

Devel::Cover

metacpan

About

Try your first CodeRush feature right now and see instantly just how powerful it is. Refactoring for C#, Visual Basic, and XAML, with the fastest test .NET runner available, next generation debugging, and the most efficient coding experience on the planet. Quickly find symbols and files in your solution and easily navigate to code constructions related to the current context. CodeRush includes the Quick Navigation and Quick File Navigation features, which make it fast and easy to find symbols and open files. Using the Analyze Code Coverage feature, you can discover what parts of your solution are covered by unit tests, and find the at-risk parts of your application. The Code Coverage window shows percentage of statements covered by unit tests for each namespace, type, and member in your solution.

About

Coverage.py is a tool for measuring code coverage of Python programs. It monitors your program, noting which parts of the code have been executed, then analyzes the source to identify code that could have been executed but was not. Coverage measurement is typically used to gauge the effectiveness of tests. It can show which parts of your code are being exercised by tests, and which are not. Use coverage run to run your test suite and gather data. However you normally run your test suite, and you can run your test runner under coverage. If your test runner command starts with “python”, just replace the initial “python” with “coverage run”. To limit coverage measurement to code in the current directory, and also find files that weren’t executed at all, add the source argument to your coverage command line. By default, it will measure line (statement) coverage. It can also measure branch coverage. It can tell you what tests ran which lines.

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

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.

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

IT teams looking for a Static Code Analysis platform

Audience

Any user looking for a solution to measure line and branch coverage to produce test reports

Audience

Anyone looking for a powerful Code Coverage metric solution for Perl

Audience

Developers in need of a powerful Code Coverage 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

$49.99 one time payment
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

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

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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

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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

DevExpress
United States
www.devexpress.com/products/coderush/

Company Information

Coverage.py
United States
coverage.readthedocs.io/en/7.0.0/

Company Information

metacpan
metacpan.org/pod/Devel::Cover

Company Information

pub.dev
pub.dev/packages/test_coverage

Alternatives

Jtest

Jtest

Parasoft

Alternatives

froglogic Coco

froglogic Coco

froglogic

Alternatives

BullseyeCoverage

BullseyeCoverage

Bullseye Testing Technology

Alternatives

pytest-cov

pytest-cov

Python
JCov

JCov

OpenJDK
froglogic Coco

froglogic Coco

froglogic
ReSharper

ReSharper

JetBrains
blanket.js

blanket.js

Blanket.js
dotCover

dotCover

JetBrains
Devel::Cover

Devel::Cover

metacpan
JCov

JCov

OpenJDK

Categories

Categories

Categories

Categories

Integrations

Angular
Blazor
C
C#
Codecov
Dart
Delphi
GitHub
JavaScript
Mako
NUnit
Perl
React
SQLite
Tidelift
Visual Basic
Visual Studio
Visual Studio Code
YAML
xUnit.net

Integrations

Angular
Blazor
C
C#
Codecov
Dart
Delphi
GitHub
JavaScript
Mako
NUnit
Perl
React
SQLite
Tidelift
Visual Basic
Visual Studio
Visual Studio Code
YAML
xUnit.net

Integrations

Angular
Blazor
C
C#
Codecov
Dart
Delphi
GitHub
JavaScript
Mako
NUnit
Perl
React
SQLite
Tidelift
Visual Basic
Visual Studio
Visual Studio Code
YAML
xUnit.net

Integrations

Angular
Blazor
C
C#
Codecov
Dart
Delphi
GitHub
JavaScript
Mako
NUnit
Perl
React
SQLite
Tidelift
Visual Basic
Visual Studio
Visual Studio Code
YAML
xUnit.net
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