Web-based Metrics for Quality and Testing
Software Quality and Testing Completeness are linked. You cannot have quality without complete testing. For groups that want to improve quality, the hardest question to answer often is: “where do we start?” VectorCAST Analytics helps answer that question by making it easy to gather and publish key, “where are we today?” quality metrics.
Advantages
- Real-time access to quality and testing completeness metrics
- Built-in connectors for all VectorCAST-produced data
- User-defined connectors for third-party data
- Fully customizable dashboard based on organization’s goals
Highlights of VectorCAST Analytics
Real-Time Code Quality Metrics
Provides quantifiable data on tests run vs. tests needed, release readiness, risk areas, and hot spot identification.
Technical Debt Identification
Identifies data on the key components of technical debt such as code complexity, comment density, and testing completeness.
Test Case Quality
Reports on the quality of test cases with metrics such as: tests with expected values but no requirements, number of requirements tested, and tests with expected values.
Customizable
Allows end-user customization of calculated metrics, as well as data presentation using a variety of built-in graphs and tables.
Extendable Data Connectors
Includes built-in data connectors for all VectorCAST tools and is easily extended to support any third-party data sources.
How it Works
VectorCAST Analytics provides user-configurable data connectors that allow key metrics such as: static analysis errors, code complexity, code coverage, and testing completeness to be captured from VectorCAST or third-party tools. These base metrics can be combined into calculated metrics to identify hot spots in the code, such as functions with high complexity and low coverage. Displaying this information in a heat map view, where code coverage controls the box color and code complexity controls the box size, allows users to quickly view where they should invest testing and refactoring resources to get the best return on investment. Big red boxes imply highly complex functions that are poorly tested.
Downloads
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2020-08-31 Product DescriptionFact Sheet VectorCAST/Analytics
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2020-08-27 Product DescriptionFact Sheet VectorCAST
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2018-10-09 WhitepaperBaseline Testing: The Key to Reducing Technical Debt in Legacy Code Bases
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2018-09-10 WhitepaperUsing VectorCAST to Satisfy FDA Software Testing Requirements
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2018-09-10 WhitepaperUsing VectorCAST for DO-178B/C Software Verification
- 2020-10-08 Squore: Best Practices to Comply with ISO26262 and the HIS...
- 2020-09-30 Coffee with Vector: Back-to-Back Testing with VectorCAST
- 2020-09-24 VectorCAST: The Use of AI in Functional Safety
- 2020-09-24 VectorCAST: Automating Data and Control Coupling
- 2020-08-26 Coffee with Vector: VectorCAST/QA Workflows and Best Practices
- 2020-08-20 VectorCAST: How to Create Unit Tests Using VectorCAST/C++
- 2020-07-30 Coffee with Vector: Using the Jenkins Pipeline Feature with...
- 2020-07-28 Squore: Reducing the cost of Quality in Embedded Systems...
- 2020-07-23 VectorCAST: How to Write Whitebox Tests Using VectorCAST Probe...
- 2020-06-25 Coffee with Vector: Using VectorCAST Data API
News & Events
- 2020-10-22 Webinar: VectorCAST: How VectorCAST Integrates with the IAR Embedded...
- 2020-10-27 Webinar: Coffee with Vector Panel Discussion: Agile for Safety Critical...
- 2020-11-11 Webinar: Coffee with Vector: Software Integration Testing with VectorCAST
- 2020-11-19 Webinar: VectorCAST: How to Unit Test AUTOSAR Software Components
Training
VectorCAST Workshops
Our workshops offer you many opportunities to expand or deepen your knowledge about VectorCAST.
Gain a basic understanding of Unit Testing and Code Coverage concepts and how the VectorCAST test automation platform can be used to implement those concepts.
