Many organizations use risk management to mitigate delivery risk, typically at the expense of application quality. Learn about the importance of focusing on application structural quality to reduce business disruption risk in this Gartner-CAST paper
Gartner Research’s paper on improving application services contracting. “Organization’s that outsources custom development should care about CAST, which has become the de facto standard for measuring the quality and productivity of vendor deliveries.” Paper is relevant to IT Sourcing, Contracting, Vendor Management, VMO, and IT Finance professionals.
A formal approach to quality management is needed that recognizes the key dimensions of quality (Stakeholders, Technical Quality, Functional Quality), and a set of measures that enable the organization to identify areas for improvement and focus on the specific changes that they can make successfully.
This paper features Gartner research and related content from CAST, detailing the three main focus areas to implement a successful SAM program with your vendors, as well as a client example of a large telecom firm that used SAM to lower IT costs and gain visibility into vendor performance.
This paper, featuring Gartner research and related content from CAST, delivers recommendations to successfully execute a lightweight, sustainable portfolio analysis that improves overall software risk management, whether applications are managed in-house or by vendors.
Ovum research on the CAST Application Intelligence Platform. This research is a thorough review of CAST AIP, with some comments about its strengths in providing in-depth, holistic view of all application component interactions, for assessment of integration issues as well as simple code quality and complexity analysis.
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.
This guide describes a method for adjusting productivity with quality results to gain greater visibility into the impact that quality has on the productivity of future releases. It presents best practices that can be integrated into a productivity measurement and analysis process and provide recommendations for implementing an effective measurement-driven improvement program.