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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.

Description

SimpleCov is a Ruby tool designed for code coverage analysis, leveraging Ruby's native Coverage library to collect data, while offering a user-friendly API that simplifies the processing of results by allowing you to filter, group, merge, format, and display them effectively. Although it excels in tracking the covered Ruby code, it does not support coverage for popular templating systems like erb, slim, and haml. For most projects, obtaining a comprehensive overview of coverage results across various types of tests, including Cucumber features, is essential. SimpleCov simplifies this task by automatically caching and merging results for report generation, ensuring that your final report reflects coverage from all your test suites, thus providing a clearer picture of any areas that need improvement. It is important to ensure that SimpleCov is executed in the same process as the code for which you wish to analyze coverage, as this is crucial for accurate results. Additionally, utilizing SimpleCov can significantly enhance your development workflow by identifying untested code segments, ultimately leading to more robust applications.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AWS Marketplace Yes 
Amazon Corretto Yes 
Apache NetBeans Yes 
Azure Marketplace Yes 
Codecov No 
Cucumber No 
DeepCover No 
Helidon Yes 
JSON No 
Java Yes 
Mariner Financial Wellness No 
Red Hat Runtimes Yes 
Ruby No 
Ruby on Rails No 
RubyMine No 
UndercoverCI No 
XML Yes 

Integrations

AWS Marketplace No 
Amazon Corretto No 
Apache NetBeans No 
Azure Marketplace No 
Codecov Yes 
Cucumber Yes 
DeepCover Yes 
Helidon No 
JSON Yes 
Java No 
Mariner Financial Wellness Yes 
Red Hat Runtimes No 
Ruby Yes 
Ruby on Rails Yes 
RubyMine Yes 
UndercoverCI Yes 
XML 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

OpenJDK

Country

United States

Website

wiki.openjdk.org/display/CodeTools/jcov

Vendor Details

Company Name

SimpleCov

Country

United States

Website

github.com/simplecov-ruby/simplecov

Product Features

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Alternatives

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