Testwell CTC++

Testwell CTC++

Testwell
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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

Testwell CTC++ is a powerful instrumentation-based code coverage and dynamic analysis tool for C and C++ code. With certain add-on components CTC++ can be used also on C#, Java and Objective-C code. Further, again with certain add-on components, CTC++ can be used to analyse code basically at any embedded target machines, also in very small ones (limited memory, no operating system). CTC++ provides Line Coverage, Statement Coverage, Function Coverage, Decision Coverage, Multicondition Coverage, Modified Condition/Decision Coverage (MC/DC), Condition Coverage. As a dynamic analysis tool, CTC++ shows the execution counters (how many times executed) in the code, i.e. more than a plain executed/not executed information. You can also use CTC++ to measure function execution costs (normally time) and to enable function entry/exit tracing at test time. CTC++ is easy to use.

About

Imageio is a Python library that provides an easy interface to read and write a wide range of image data, including animated images, volumetric data, and scientific formats. It is cross-platform, runs on Python 3.5+, and is easy to install. Imageio is written in pure Python, so installation is easy. Imageio works on Python 3.5+. It also works on Pypy. Imageio depends on Numpy and Pillow. For some formats, imageio needs additional libraries/executables (e.g. ffmpeg), which imageio helps you to download/install. If something doesn’t work as it should, you need to know where to search for causes. The overview on this page aims to help you in this regard by giving you an idea of how things work, and - hence - where things may go sideways.

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

IT teams looking for an advanced Code Coverage solution

Audience

Component Library solution for developers

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

Testwell
www.testwell.fi/ctcdesc.html

Company Information

imageio
imageio.readthedocs.io/en/stable/

Alternatives

Alternatives

Alternatives

JDeli

JDeli

IDR Solutions
JCov

JCov

OpenJDK
JCov

JCov

OpenJDK
RKTracer

RKTracer

RKVALIDATE
yarl

yarl

Python Software Foundation
blanket.js

blanket.js

Blanket.js
Devel::Cover

Devel::Cover

metacpan
Devel::Cover

Devel::Cover

metacpan
BullseyeCoverage

BullseyeCoverage

Bullseye Testing Technology

Categories

Categories

Categories

Integrations

C
C#
C++
Codecov
Django
HTML
JSON
Java
JavaScript
Mako
Microsoft Excel
NumPy
Pillow
Python
SQLite
Tidelift
Visual Studio
XML
pytest
pytest-cov

Integrations

C
C#
C++
Codecov
Django
HTML
JSON
Java
JavaScript
Mako
Microsoft Excel
NumPy
Pillow
Python
SQLite
Tidelift
Visual Studio
XML
pytest
pytest-cov

Integrations

C
C#
C++
Codecov
Django
HTML
JSON
Java
JavaScript
Mako
Microsoft Excel
NumPy
Pillow
Python
SQLite
Tidelift
Visual Studio
XML
pytest
pytest-cov
Claim Coverage.py and update features and information
Claim Coverage.py and update features and information
Claim Testwell CTC++ and update features and information
Claim Testwell CTC++ and update features and information
Claim imageio and update features and information
Claim imageio and update features and information