Providence, Rhode Island – Vector Software's VectorCAST/Analytics provides an easy to understand web-based dashboard of software code quality and testing completeness metrics, enabling users to identify trends in a single codebase or compare metrics between multiple codebases.
Software projects fall into two categories: maintenance of legacy applications and development of new applications. Each presents a unique challenge. Legacy applications are often under-tested and overly complex. Understanding where to start is the biggest challenge to improving quality. With new development, the challenge is often release readiness – how much work has been done and how much remains to be done.
VectorCAST/Analytics helps in both cases. For legacy applications, it identifies hot spots in code bases by comparing key quality metrics against project averages. For new development it reports testing completeness, computing the amount of testing needed with testing completed to date. Heat map graphs of key metrics allow users to identify overly complex or under-tested code sections.
Additional capabilities of VectorCAST/Analytics include:
- Real-time quality metrics – provides intelligence data on tests run vs. tests needed, release readiness, risk areas, and resource allocation for risk assessment and hot spot identification.
- Technical Debt metrics – reports data on the key components of technical debt such as code complexity, comment density, and testing completeness.
- Test case quality metrics – reports on the quantity and quality of test cases allowing you to identify tests without requirements, requirements without tests, and fragile tests that often break.
- Customizable dashboards – data presentation is customizable by the end-user, allowing data to be presented 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 source.
Source: VectorCAST