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Average Ratings 0 Ratings

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features
design
support

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Write a Review

Description

We assist you in confidently delivering your code by identifying which sections are left untested by your suite. Our service is free for open-source projects, while private repositories can benefit from our pro accounts. You can sign up instantly through platforms like GitHub, Bitbucket, and GitLab. Ensuring a thoroughly tested codebase is crucial for success, yet identifying gaps in your tests can be a challenging task. Since you're likely already using a continuous integration server for testing, why not allow it to handle the heavy lifting? Coveralls integrates seamlessly with your CI server, analyzing your coverage data to uncover hidden issues before they escalate into bigger problems. If you're only checking your code coverage locally, you may miss out on valuable insights and trends throughout your entire development process. Coveralls empowers you to explore every aspect of your coverage while providing unlimited historical data. By using Coveralls, you can eliminate the hassle of monitoring your code coverage, gaining a clear understanding of your untested sections. This allows you to develop with assurance that your code is properly covered and robust. In summary, Coveralls not only streamlines the tracking process but also enhances your overall development experience.

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 Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Java Yes 
AWS Marketplace No 
Amazon Corretto No 
Azure Marketplace No 
Bitbucket Yes 
CodeShip Yes 
Common Lisp Yes 
D Yes 
Erlang Yes 
Haskell Yes 
Julia Yes 
Kotlin Yes 
OCaml Yes 
Objective-C Yes 
Python Yes 
R Yes 
Red Hat Runtimes No 
Swift Yes 
Travis CI Yes 
grcov Yes 

Integrations

Java Yes 
AWS Marketplace Yes 
Amazon Corretto Yes 
Azure Marketplace Yes 
Bitbucket No 
CodeShip No 
Common Lisp No 
D No 
Erlang No 
Haskell No 
Julia No 
Kotlin No 
OCaml No 
Objective-C No 
Python No 
R No 
Red Hat Runtimes Yes 
Swift No 
Travis CI No 
grcov No 

Pricing Details

$10 per month
Free Trial Yes 
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

Coveralls

Country

United States

Website

coveralls.io

Vendor Details

Company Name

OpenJDK

Country

United States

Website

wiki.openjdk.org/display/CodeTools/jcov

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