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ease
features
design
support

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Description

VectorCAST is an extensive test-automation framework aimed at optimizing unit, integration, and system testing throughout the embedded software development process. It facilitates the automation of test case creation and execution for applications written in C, C++, and Ada, while also accommodating host, target, and continuous integration environments. Additionally, VectorCAST provides structural code coverage metrics, which are essential for ensuring the validation of safety-critical and mission-critical systems. The tool seamlessly integrates with simulation processes such as software-in-the-loop and processor-in-the-loop, and it works with model-based engineering tools like Simulink/Embedded Coder. It also supports advanced white-box testing techniques, including dynamic instrumentation, fault injection, and the generation of test harnesses, effectively combining static analysis results—like those from Polyspace—with dynamic coverage to ensure comprehensive lifecycle verification. Among its significant features are the ability to correlate requirements with tests and the management and reporting of coverage across different configurations, ultimately enhancing the testing process. Overall, VectorCAST empowers organizations to achieve more reliable and efficient testing in their software development endeavors.

Description

This plugin generates detailed coverage reports that offer more functionality compared to merely using coverage run. It includes support for subprocess execution, allowing you to fork or run tasks in a subprocess while still obtaining coverage seamlessly. Additionally, it integrates with xdist, enabling the use of all pytest-xdist features without sacrificing coverage reporting. The plugin maintains consistent behavior with pytest, ensuring that all functionalities provided by the coverage package are accessible either via pytest-cov's command line options or through coverage's configuration file. In rare cases, a stray .pth file might remain in the site packages after execution. To guarantee that each test run starts with clean data, the data file is cleared at the start of testing. If you wish to merge coverage results from multiple test runs, you can utilize the --cov-append option to add this data to that of previous runs. Furthermore, the data file is retained at the conclusion of testing, allowing users to leverage standard coverage tools for further analysis of the results. This additional functionality enhances the overall user experience by providing better management of coverage data throughout the testing process.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Ada
Ansys SCADE Architect
C
C++
Codebeamer
Codecov
Coverage.py
Creo
HTML
IBM DOORS Next
Jama Connect
Jenkins
Jira
Polyspace Code Prover
Python
Simulink
Visure Requirements
Wind River Simics
XML
pytest

Integrations

Ada
Ansys SCADE Architect
C
C++
Codebeamer
Codecov
Coverage.py
Creo
HTML
IBM DOORS Next
Jama Connect
Jenkins
Jira
Polyspace Code Prover
Python
Simulink
Visure Requirements
Wind River Simics
XML
pytest

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

VECTOR Informatik

Founded

1998

Country

Germany

Website

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

Vendor Details

Company Name

Python

Country

United States

Website

pypi.org/project/pytest-cov/

Product Features

Software Testing

Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing

Product Features

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