Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Coverlet functions with the .NET Framework on Windows and with .NET Core across all compatible platforms. It provides coverage specifically for deterministic builds. Currently, the existing solution is less than ideal and requires a workaround. For those who wish to view Coverlet's output within Visual Studio while coding, various add-ins are available depending on the platform in use. Additionally, Coverlet seamlessly connects with the build system to execute code coverage post-testing. Activating code coverage is straightforward; you simply need to set the CollectCoverage property to true. To use the Coverlet tool, you must indicate the path to the assembly housing the unit tests. Furthermore, you are required to define both the test runner and the associated arguments by utilizing the --target and --targetargs options. It's crucial that the invocation of the test runner with these arguments does not necessitate recompiling the unit test assembly, as this would prevent the generation of coverage results. Proper configuration and understanding of these aspects will ensure a smoother experience when using Coverlet for code coverage.
Description
The JCov open-source initiative is designed to collect quality metrics related to the development of test suites. By making JCov accessible, the project aims to enhance the verification of regression test executions within OpenJDK development. The primary goal of JCov is to ensure transparency regarding test coverage metrics. Promoting a standard coverage tool like JCov benefits OpenJDK developers by providing a code coverage solution that evolves in harmony with advancements in the Java language and VM. JCov is entirely implemented in Java and serves as a tool to assess and analyze dynamic code coverage for Java applications. It offers features that measure method, linear block, and branch coverage, while also identifying execution paths that remain uncovered. Additionally, JCov can annotate the program's source code with coverage data. From a testing standpoint, JCov is particularly valuable for identifying execution paths and understanding how different pieces of code are exercised during testing. This detailed insight helps developers enhance their testing strategies and improve overall code quality.
API Access
Has API
No
API Access
Has API
Yes
Integrations
.NET
Yes
AWS Marketplace
No
Amazon Corretto
No
Apache NetBeans
No
Azure Marketplace
No
Codecov
Yes
Helidon
No
Java
No
Red Hat Runtimes
No
Visual Studio
Yes
Integrations
.NET
No
AWS Marketplace
Yes
Amazon Corretto
Yes
Apache NetBeans
Yes
Azure Marketplace
Yes
Codecov
No
Helidon
Yes
Java
Yes
Red Hat Runtimes
Yes
Visual Studio
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Coverlet
Website
github.com/coverlet-coverage/coverlet
Vendor Details
Company Name
OpenJDK
Country
United States
Website
wiki.openjdk.org/display/CodeTools/jcov