coverage Description
Coverage offers tools for gathering, processing, and formatting coverage data specifically for Dart. The function Collect_coverage retrieves coverage information in JSON format from the Dart VM Service, while format_coverage transforms this JSON coverage data into either the LCOV format or a more readable, pretty-printed layout for easier interpretation. This set of tools enhances the ability to analyze code coverage effectively.
coverage Alternatives
MuukTest
You know that you could be testing more to catch bugs earlier, but QA testing can take a lot of time, effort and resources to do it right. MuukTest can get growing engineering teams up to 95% coverage of end-to-end tests in just 3 months.
Our QA experts create, manage, maintain, and update E2E tests on the MuukTest Platform for your web, API, and mobile apps at record speed. We begin exploratory and negative tests after achieving 100% regression coverage within 8 weeks to uncover bugs and increase coverage. The time you spend on development is reduced by managing your testing frameworks, scripts, libraries and maintenance.
We also proactively identify flaky tests and false test results to ensure the accuracy of your tests. Early and frequent testing allows you to detect errors in the early stages your development lifecycle. This reduces the burden of technical debt later on.
Learn more
Parasoft
Parasoft's mission is to provide automated testing solutions and expertise that empower organizations to expedite delivery of safe and reliable software.
A powerful unified C and C++ test automation solution for static analysis, unit testing and structural code coverage, Parasoft C/C++test helps satisfy compliance with industry functional safety and security requirements for embedded software systems.
Learn more
test_coverage
A straightforward command-line utility designed to gather test coverage data from Dart VM tests, making it an essential tool for developers who require local coverage reports while working on their projects. This tool streamlines the process of analyzing test effectiveness and ensures that developers can easily monitor their code's test coverage in real-time.
Learn more
JCov
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.
Learn more
Pricing
Pricing Starts At:
Free
Free Version:
Yes
Company Details
Company:
pub.dev
Website:
pub.dev/packages/coverage
Recommended Products
Your top-rated shield against malware and online scams | Avast Free Antivirus
Our antivirus software scans for security and performance issues and helps you to fix them instantly. It also protects you in real time by analyzing unknown files before they reach your desktop PC or laptop — all for free.
Product Details
Platforms
Windows
Mac
Linux
Types of Training
Training Docs
Customer Support
Online Support
coverage Features and Options
coverage User Reviews
Write a Review- Previous
- Next