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What is NCover?

NCover Desktop is a specialized tool for Windows that aims to collect code coverage information specifically for .NET applications and services. After gathering this data, users can access a rich array of charts and metrics via a web-based interface, allowing for in-depth analysis down to individual lines of code. Moreover, there is an option to incorporate a Visual Studio extension called Bolt, which enhances the code coverage experience by showcasing unit test results, execution durations, branch coverage representations, and highlighted source code within the Visual Studio IDE itself. This improvement in NCover Desktop greatly boosts the user-friendliness and capability of code coverage tools. By assessing code coverage during .NET testing, NCover provides valuable insights into the execution of code segments, along with accurate metrics regarding unit test coverage. Tracking these metrics consistently enables developers to maintain a dependable measure of code quality throughout the development cycle, ultimately fostering the creation of a stronger and thoroughly tested application. The implementation of such tools not only elevates software reliability but also enhances overall performance. Consequently, teams can leverage these insights to make informed decisions that contribute to the continuous improvement of their software projects.

What is DeepCover?

Deep Cover aims to be the leading tool for measuring Ruby code coverage, offering improved precision for both line and branch coverage metrics. It acts as a streamlined replacement for the conventional Coverage library, presenting a more transparent view of code execution. A line is considered covered only when it has been executed in its entirety, and the optional branch coverage feature highlights any branches that have not been traversed. The MRI implementation takes into account all available methods, including those created through constructs like define_method and class_eval. In contrast to Istanbul's approach, DeepCover reports on all defined methods and blocks. Although loops are not categorized as branches within DeepCover, integrating them can be straightforward if required. Once DeepCover is enabled and configured, it necessitates only a small amount of code loading, with the tracking of coverage commencing at a later stage in the execution process. Furthermore, to ease the transition for projects that have previously depended on the built-in Coverage library, DeepCover can seamlessly embed itself into existing frameworks, ensuring that developers can shift to enhanced coverage analysis without complications. This adaptability and ease of use position DeepCover as not just powerful, but also a valuable asset for teams aiming to strengthen their testing strategies. Overall, its capability to integrate and provide detailed insights into code execution makes it an indispensable tool for Ruby developers.

Media

Media

Integrations Supported

Codecov
.NET
C#
Code Climate
Coveralls
F#
HTML
Istanbul
NUnit
Ruby
SimpleCov
Typemock
Visual Studio

Integrations Supported

Codecov
.NET
C#
Code Climate
Coveralls
F#
HTML
Istanbul
NUnit
Ruby
SimpleCov
Typemock
Visual Studio

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

NCover

Company Website

www.ncover.com

Company Facts

Organization Name

DeepCover

Company Location

United States

Company Website

github.com/deep-cover/deep-cover

Categories and Features

Categories and Features

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