Devel::Cover

Devel::Cover

metacpan
blanket.js

blanket.js

Blanket.js

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

PHPUnit requires the dom and json extensions, which are normally enabled by default. PHPUnit also requires the pcre, reflection, and spl extensions. These standard extensions are enabled by default and cannot be disabled without patching PHP’s build system and/or C sources. The code coverage report feature requires the Xdebug (2.7.0 or later) and tokenizer extensions. Generating XML reports requires the xmlwriter extension. Unit Tests are primarily written as a good practice to help developers identify and fix bugs, to refactor code and to serve as documentation for a unit of software under test. To achieve these benefits, unit tests ideally should cover all the possible paths in a program. One unit test usually covers one specific path in one function or method. However a test method is not necessarily an encapsulated, independent entity. Often there are implicit dependencies between test methods, hidden in the implementation scenario of a test.

About

Powerful and affordable RPA platform. Use the flexibility of Python, the convenience of low code, and the potential of AI for intelligent automation. Python RPA is an easy-to-use platform for developing and managing bots in Python. The capabilities of Python make the platform an effective and powerful tool for automating business processes. Enterprise-grade orchestrator for managing Python scripts and low-code projects. Basic Python knowledge is enough to start your automation journey. Stay ahead with instant notifications and a status management board. Uninterrupted flow of process execution, keeping things running smoothly. Ensure secured and managed user access. Keep your credentials secured and ensure activities are being logged. Use any library or framework for creating your project. Develop your Python automation in any open-source Python development environment.

About

A seamless JavaScript code coverage library. Blanket.js is a code coverage tool for JavaScript that aims to be easy to install, easy to use, and easy to understand. Blanket.js can be run seamlessly or can be customized for your needs. JavaScript code coverage compliments your existing JavaScript tests by adding code coverage statistics (which lines of your source code are covered by your tests). Parsing the code using Esprima and node-falafel, and instrumenting the file by adding code tracking lines. Connecting to hooks in the test runner to output the coverage details after the tests have been completed. A Grunt plugin has been created to allow you to use Blanket like a "traditional" code coverage tool (creating instrumented copies of physical files, as opposed to live-instrumenting). Runs the QUnit-based Blanket report headlessly using PhantomJS. Results are displayed on the console, and the task will cause Grunt to fail if any of your configured coverage thresholds are not met.

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

Unit Testing solution for developers

Audience

Enterprises interested in a tool to manage their business processes and automate routine tasks

Audience

Developers seeking a solution to manage their code tracking processes and statistics

Support

Phone Support
24/7 Live Support
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Support

Phone Support
24/7 Live Support
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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

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Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

$275 per month
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

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ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
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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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Training

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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

PHPUnit
phpunit.de/

Company Information

Python RPA
Founded: 2019
Kazakhstan
pythonrpa.org

Company Information

Blanket.js
github.com/alex-seville/blanket

Alternatives

BullseyeCoverage

BullseyeCoverage

Bullseye Testing Technology

Alternatives

Early

Early

EarlyAI

Alternatives

Alternatives

dotCover

dotCover

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RKTracer

RKTracer

RKVALIDATE
RKTracer

RKTracer

RKVALIDATE
CodeRush

CodeRush

DevExpress
Testwell CTC++

Testwell CTC++

Testwell

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Axis LMS
C
Captain
Dash
Docker
GPT-4
GitHub
Java
JavaScript
Microsoft Azure
New Relic
OpenAI
PHP
Perl
Python
QUnit
Testmo
Vim
XML
Xdebug

Integrations

Axis LMS
C
Captain
Dash
Docker
GPT-4
GitHub
Java
JavaScript
Microsoft Azure
New Relic
OpenAI
PHP
Perl
Python
QUnit
Testmo
Vim
XML
Xdebug

Integrations

Axis LMS
C
Captain
Dash
Docker
GPT-4
GitHub
Java
JavaScript
Microsoft Azure
New Relic
OpenAI
PHP
Perl
Python
QUnit
Testmo
Vim
XML
Xdebug

Integrations

Axis LMS
C
Captain
Dash
Docker
GPT-4
GitHub
Java
JavaScript
Microsoft Azure
New Relic
OpenAI
PHP
Perl
Python
QUnit
Testmo
Vim
XML
Xdebug
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