Testwell CTC++

Testwell CTC++

Testwell
blanket.js

blanket.js

Blanket.js
python-sql

python-sql

Python Software Foundation
+

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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

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.

About

python-sql is a library to write SQL queries in a pythonic way. Simple selects, select with where condition. Select with join or select with multiple joins. Select with group_by and select with output name. Select with order_by, or select with sub-select. Select on other schema and insert query with default values. Insert query with values, and insert query with query. Update query with values. Update query with where condition. Update query with from the list. Delete query with where condition, and delete query with sub-query. Provides limit style, qmark style, and numeric style.

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 an advanced Code Coverage solution

Audience

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

Audience

Developers searching for a solution offering a library to write SQL queries

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

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

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

Testwell
www.testwell.fi/ctcdesc.html

Company Information

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

Company Information

Python Software Foundation
United States
pypi.org/project/python-sql/

Alternatives

Alternatives

Alternatives

JCov

JCov

OpenJDK
RKTracer

RKTracer

RKVALIDATE
RKTracer

RKTracer

RKVALIDATE
Devel::Cover

Devel::Cover

metacpan
Testwell CTC++

Testwell CTC++

Testwell
NGS-IQ

NGS-IQ

New Generation Software
BullseyeCoverage

BullseyeCoverage

Bullseye Testing Technology

Categories

Categories

Categories

Integrations

Axis LMS
C
C#
C++
Codecov
Domino Enterprise MLOps Platform
HTML
JSON
Java
JavaScript
Microsoft Excel
Mocha
Python
QUnit
Visual Studio
XML

Integrations

Axis LMS
C
C#
C++
Codecov
Domino Enterprise MLOps Platform
HTML
JSON
Java
JavaScript
Microsoft Excel
Mocha
Python
QUnit
Visual Studio
XML

Integrations

Axis LMS
C
C#
C++
Codecov
Domino Enterprise MLOps Platform
HTML
JSON
Java
JavaScript
Microsoft Excel
Mocha
Python
QUnit
Visual Studio
XML
Claim Testwell CTC++ and update features and information
Claim Testwell CTC++ and update features and information
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