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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.
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.
API Access
Has API
API Access
Has API
Integrations
Ada
Ansys SCADE Architect
Bamboo
C
C++
Codebeamer
Codecov
Creo
DeepCover
IBM DOORS Next
Integrations
Ada
Ansys SCADE Architect
Bamboo
C
C++
Codebeamer
Codecov
Creo
DeepCover
IBM DOORS Next
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
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
SimpleCov
Country
United States
Website
github.com/simplecov-ruby/simplecov
Vendor Details
Company Name
VECTOR Informatik
Founded
1998
Country
Germany
Website
www.vector.com/us/en/products/products-a-z/software/vectorcast/
Product Features
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