System-Level Analysis is a holistic method of analyzing and measuring complex software systems to evaluate their overall risk and structural quality. System-Level Analysis is essential to ensure highly reliable, safe and affordable systems that drive business value.
Without a holistic and semantic understanding of a system, your decisions could be based on misleading or incomplete data. System-Level Analysis identifies hard to find, dangerous flaws in complex systems while enabling safe, resilient, agile and high-performing systems. Visualizing the whole picture can prevent outages that save careers and save customer relationships.
CAST code analyzers not only “read” code to check compliance with coding best practices; they also understand the semantics carried by systems to map what they actually DO.
System-level analysis is a holistic method of analyzing and measuring complex software systems. Using a combination of architectural and engineering assessments, system-level analysis examines how software components interact with each other and how they work across technology layers, data structures and other applications.
- Analyzes the system architecture to identify invalid calls and references between technology layers.
- Emulates run-time behavior of system components.
- Scans for patterns and anti-patterns in application control flow.
- Aggregates and normalizes findings based on industry standards and consolidate across applications.
- Adjusts findings to match application advanced behaviors
- Track data flow along static and dynamic call stacks
- Verifies cross-layer and cross- technology links between components
- Understands programming language syntaxes and grammar using source code parsing
- Validates engineering practices against a rules engine to identify non-compliant objects or situations
- Identifies cross-layer and technology transactions from user interface to data entities
The result is a comprehensive understanding of the system. Having context and visibility into how complex systems are composed and operate, leads to unique insight into the internal integrity and soundness of that system and into vulnerabilities that lead to security, reliability, performance and maintainability issues.