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What is VectorCAST?

VectorCAST is a comprehensive test-automation framework designed to enhance unit, integration, and system testing throughout the embedded software development lifecycle. This tool streamlines the automation of both test case creation and execution for applications developed in C, C++, and Ada, while being adaptable to various environments including host, target, and continuous integration setups. Furthermore, VectorCAST offers critical structural code coverage metrics that are vital for validating safety-critical and mission-critical applications. It integrates effortlessly with simulation processes such as software-in-the-loop and processor-in-the-loop, and it collaborates effectively with model-based engineering tools like Simulink/Embedded Coder. In addition, the framework supports sophisticated white-box testing methodologies, such as dynamic instrumentation, fault injection, and test harness generation, by skillfully merging static analysis outcomes—like those provided by Polyspace—with dynamic coverage for thorough lifecycle verification. Significant functionalities include the ability to link requirements directly with tests and the comprehensive management and reporting of coverage across various configurations, which ultimately streamlines the testing process and improves efficiency. By leveraging VectorCAST, organizations can significantly enhance the reliability and effectiveness of their software testing practices, making it an invaluable asset in their development toolkit. This ultimately leads to a more robust software product that meets the highest quality standards.

What is SimpleCov?

SimpleCov is a Ruby-based tool utilized for analyzing code coverage, which utilizes Ruby's built-in Coverage library to gather data while presenting a straightforward API that aids in processing results by enabling filtering, grouping, merging, formatting, and effective display. While it is proficient in monitoring the covered Ruby code, it lacks support for popular templating systems such as erb, slim, and haml. For many projects, acquiring a holistic view of coverage outcomes across various testing types, including Cucumber features, is vital. SimpleCov streamlines this process by automatically caching and merging results for report generation, ensuring that the final report encapsulates coverage from all test suites, thus offering a more comprehensive overview of areas needing enhancement. To ensure accurate results, it is crucial to run SimpleCov within the same process as the code being analyzed for coverage. Furthermore, leveraging SimpleCov can significantly improve your development workflow by pinpointing untested code segments, ultimately fostering the creation of more robust applications. This tool not only aids in enhancing code quality but also promotes a culture of thorough testing in development teams.

Media

Media

Integrations Supported

Ada
Ansys SCADE Architect
Bamboo
C++
Codebeamer
Creo
IBM DOORS Next
Jama Connect
Jenkins
Polarion REQUIREMENTS
Polyspace Code Prover
Simulink

Integrations Supported

Cucumber
DeepCover
JSON
Mariner Financial Wellness
Ruby
Ruby on Rails
RubyMine
UndercoverCI

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

Windows
Linux

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

VECTOR Informatik

Date Founded

1998

Company Location

Germany

Company Website

www.vector.com/us/en/products/products-a-z/software/vectorcast/

Company Facts

Organization Name

SimpleCov

Company Location

United States

Company Website

github.com/simplecov-ruby/simplecov

Categories and Features

Code Coverage

Not specified

Software Testing

Not specified

Categories and Features

Code Coverage

Not specified

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