When application fails, the loss of revenue can be large and swift. Applications causes highly-visible outages and lapses in business every day. Still, executives struggle to justify proactive investments in application quality. This paper presents a framework for measuring the immediate and positive revenue impact of improving application quality.
Learn how Software Analysis evaluates the reliability, security, efficiency, maintainability software IT vendor deliverables. Forward-looking IT Sourcing, Contracting, Vendor Management, VMO, IT Finance professionals are leveraging software analytics to greatly improve the maturity in vendor-client relationships. Learn how to take these 8 steps to improve sourcing governance.
Learn how the Lean practices pioneered in the Toyota Production System apply to Application Development, DevOps, and Agile practices to delivery software. Applying Lean decreases application total cost of ownership and improves business responsiveness and operational dependability.
This is a Gartner-CAST paper which shows the data-driven approach to balancing delivery agility with business risk. The paper features exclusive analysis from Andy Kyte, Gartner VP and Fellow who eloquently illustrates the systemic risk in the application portfolio caused by the accumulation of Technical Debt over the last decade.
In this just-released white paper, Dr. Bill Curtis – SVP and Chief Scientist at CAST– examines the Technical Debt metaphor to explain how it can be used to help executives think about software quality in business terms while governing software changeability and maintainability of their application portfolios.
If you already have some knowledge of Technical Debt, this ebook provides a 7-step Technical Debt Management Cycle that provides a clear process that can over time reduce the risk of failure of critical applications---and ultimately pay down the interest of the overall liability inherent in your application portfolio.
Learn how advanced Software Analysis and Measurement (SAM) can help improve application security by analyzing source code to identify vulnerabilities and architectural patterns in the application, and enable development teams to prevent these vulnerabilities right at the development stage with sophisticated Threat Modeling that takes into account cross-tier and cross-technology interactions.
Despite heavy investment in dynamic analysis tools, organizations continue to suffer performance, scalability, and latency issues. This paper describes how automated structural quality analysis improves delivery and DevOps team’s ability to detect, diagnose, and eliminate performance and scalability issues. Read the six-step process to identify performance issues earlier.