What You Can't Do Without CAST Technology

If you are an IT leader who needs to protect your business from risk, improve IT decisions, or drive team performance, System-level analysis MUST be in your toolbox. System-level analysis checks syntax and coding best practices - just like developer tools – but what’s important is that it understands what every piece of code in your complex systems does; how it interact with other code, frameworks and data structures. Just as the quality of a brick never guaranteed a safe and solid building, good code is not enough, that’s why CAST has invested $130M in R&D on this topic since 1991. 


Numerous engineering studies show that poor engineering of component integration, as opposed to code quality within one component, account for only 10% of total coding flaws, but lead to 90% of production issues.
OVUM Research

Computing analytics that reflect the true state of complex applications requires a holistic and semantic understanding of the application structure. Otherwise, you end up with misleading or incomplete view of systems. Structural quality scores may vary significantly if essential data is missing, and wrong information leads you to waste time fixing the wrong problems while doing little to reduce your risk exposure.

Analytics based on
code checkers



Analytics based on
System-level analysis


Accurate & standardized analytics allowing benchmarking to industry peers.
More at www.appmarq.com really-unhealthy-application

“Very sound technology that has been thoroughly vetted.”
Gartner Research

Preventing software disasters requires focus on the right flaws to provide development teams with the insight to produce safe, resilient, agile and high-performing systems. A handful of code issues can cause a torrent of defects. CAST System-level analysis unveils hard to find, dangerous structural flaws so you don’t waste time and money focusing on the wrong problems.

“Architectural assessment is an area in which CAST excels and successfully differentiates from static analyzers.”
IDC Research


Function Points, the industry standard for quantifying the amount of software delivered to businesses, usually requires manual counting, often considered as too slow and hard to scale. System-level analysis provides automated Function Point counting, in compliance with the CISQ/OMG standard. Combined with structural quality analysis, this enables risk-adjusted productivity measurement.

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““CAST has become the de facto standard for measuring the quality and productivity in some markets”
Gartner Research

Most security tools focus on vulnerabilities, i.e., the weak entry points of market facing apps. CAST’s system-level analysis unveils security flaws that traditional code security tools can’t catch, simply because they ignore the architectural context.



“Architectural analysis plays an essential role in any solid software security program.”
Gary McGraw. Building Security In.

Standardized, accurate software measures are a ‘must have’ for any outcome based ADM contract. CAST’s system-level analysis technology conforms to CISQ quality and sizing standards, which have been broadly adopted by most global system integrators.


CISQ was founded by the Software Engineering Institute (SEI) at Carnegie Mellon, and the Object Management Group. As of 2015, CISQ has more than 1000 corporate members and is actively supported by organizations such as Accenture, Atos, CAST, Cognizant, Capgemini, Wipro, Huawei and Booz Allen Hamilton. CISQ’s Director is the former Director of the Software Process Program at the SEI. More information at www.it-cisq.org.

CISQ Standards Adoption