June 2026: Delivered a graph-based representation for transitive dependencies across SCALIBR, Python, and Maven to enable unified dependency visualization and management. Implemented dedicated graph extraction and export pipelines that map transitive dependencies from Python requirements.txt and Maven POMs into a coherent graph structure, laying groundwork for better risk assessment and remediation planning. No major bugs reported this month; focus was on establishing the graph-based dependency model and associated exports. Demonstrated capabilities include graph data structures, cross-language parsing (requirements.txt, POM.xml), and SCALIBR workflow integration, enabling more accurate impact analysis and streamlined dependency maintenance.

January 2025 performance summary focusing on cross-repo improvements that boost maintainability, expand language support, and strengthen security detection capabilities. Highlights include centralizing executable-detection logic, enabling Rust binaries support in SCALIBR, updating documentation, and adding a Tsunami plugin to detect a known Apache OFBiz CVE. These outcomes drive faster inventory accuracy, more reliable OS-specific checks, and proactive vulnerability detection across the platform.