Please complete the form below and a CAST Software Analytics expert will contact you shortly.
Please complete the form below to get updates on CAST events and announcements.
IDC’s Vendor Profile assesses the Automated Software Quality strategy and position of CAST, a world leader in software quality analysis and measurement. IDC discusses the CAST Application
Intelligence Platform (AIP) and HIGHLIGHT software as a service offerings. The report also includes summaries of CAST customer references: a money management organization and a services company that made use of CAST analytical capabilities to gain insight into their applications and increased collaboration, innovation, and efficiency as a result.
CAST has again been named a leader in the Software Quality Analysis and Measurement market by IDC. Discover the business and technology drivers that make software analysis and measurement a vital component of any application development organization, and how CAST solutions help you to leverage code analysis and drive quality and innovation.
Ovum analyst Chandranshu Singh, a specialist in ALM tools and static analysis, wrote a report about the latest version of the CAST Application Intelligence Platform. CAST has decided to license this report, normally available only to Ovum subscribers. This research is a pretty thorough review of AIP capabilities, with some comments about AIP’s unique 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 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.
Gartner has found that by 2016 more than 50% of AD contracts will mandate the use of software quality management tools, as leading organizations have started using Software Analysis & Measurement (SAM) in their outsourcing contracts to improve code quality so they are more prepared to respond to fast-paced changing business requirements and reduce business disruption risk. 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.
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.
Any organization that outsources a lot of custom development and enhancement should care about CAST, which has become the de facto standard for measuring the quality and productivity of vendor deliveries in some markets.
Gartner Research Director Thomas Murphy notes that software quality is often a poor misnomer for the current practice of risk management applied by most companies. 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.
Read exclusive analysis from Andy Kyte, Gartner VP and Fellow, on the systemic risk in the typical application portfolio caused by the accumulation of Technical Debt. You will also learn how to define Technical Debt and calculate a dollar value for a typical application; express both delivery agility and business risk in terms of the same unit–dollars; and set and monitor the right quality threshold for balancing delivery agility with the risk of business disruption.
Failure to consider quality requirements results in Technical Debt — the need to rework something in the future based on your failure to pay for it now. Static analysis tools, such as CAST, mine source code to uncover common errors, development shortcuts, and code complexity all of which contribute to Technical Debt.
To gain transparency into developer productivity and code quality, some companies are using tools, such as those from vendors like CAST, to evaluate the quality of externally developed code and ensure that it meets certain coding and productivity standards.
Copyright 2015 - CAST | All Rights Reserved