Arstechnica and Dimensional Research
CIOs, CTOs, software leaders feel overwhelmed by complexity, limited visibility, lack of facts. There is no single integrated view of their application portfolio.
As portfolios grow to hundreds or thousands of applications, these questions become virtually impossible to answer with speed, confidence, and accuracy
CAST Highlight ‘understands’ application source code and automatically produces fact-based, technical insights across the entire portfolio
Automated Control Tower - operates across all applications enabling leaders to govern and make decisions based on facts – not opinions or the loudest voices
Automatically identify applications that have too many maintenance resources assigned so they can be shifted to other projects. Recommendations are based on the COCOMO II industry standard model for calculating ideal number of maintenance resources.
Discover where there are too few or too many maintenance resources assigned to applications so they can be reallocated to optimal levels. Also identify opportunities for team skill development or turnover reduction.
Automatically identify the best opportunities to reduce technical debt across all applications. Isolate priority actions based on criticality and technology. Then instantly drilldown to the root cause of technical debt within application code to prioritize remediation actions based on facts.
Identify redundant applications, frameworks, and components across a portfolio that provide similar functions to the business. Then make more informed decisions on how best to consolidate them or drive adoption of preferred proprietary components based on facts such as Resiliency, Agility, and Business Impact.
Automatically identify business critical applications that have low Resiliency representing likely short term production issues. Instantly drilldown to understand the code level insights driving these issues and develop a prioritized remediation plan with technical recommendations.
Determine which systems are becoming exceedingly expensive to maintain and operate. These overly complex and less agile applications represent likely future production headaches. Instantly drilldown to understand the code level issues and develop a prioritized remediation plan to optimize them before they fail.
Automatically identify the best opportunities to improve application efficiency and reduce energy consumption. Instantly drilldown to understand the code level patterns that cause an application to use excess resources unnecessarily with suggested remediation steps and estimated effort.
Head of Modernization & Cloud Adoption
Head of Platforms