Devel::Cover

Devel::Cover

metacpan
+

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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

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

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

Free
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 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

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

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
blanket.js

blanket.js

Blanket.js
Devel::Cover

Devel::Cover

metacpan
JCov

JCov

OpenJDK

Categories

Categories

Categories

Integrations

Codecov
C
Coveralls
Dart
Django
Git
GitHub
Go
HTML
JSON
JavaScript
Perl
Python
SQLite
Tidelift
Vim
XML
YAML
pytest
pytest-cov

Integrations

Codecov
C
Coveralls
Dart
Django
Git
GitHub
Go
HTML
JSON
JavaScript
Perl
Python
SQLite
Tidelift
Vim
XML
YAML
pytest
pytest-cov

Integrations

Codecov
C
Coveralls
Dart
Django
Git
GitHub
Go
HTML
JSON
JavaScript
Perl
Python
SQLite
Tidelift
Vim
XML
YAML
pytest
pytest-cov
Claim Coverage.py and update features and information
Claim Coverage.py and update features and information
Claim Devel::Cover and update features and information
Claim Devel::Cover and update features and information
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