Fraunhofer-AISEC/cpg
Oct 2025 – Oct 2025
1 Month active
Languages Used
JavaKotlin
Technical Skills
Abstract InterpretationCompiler DesignData Flow AnalysisJavaKotlinStatic Analysis
Robert Haimerl
PROFILE
Robert Haimerl
Developed and delivered Abstract Value Analysis for the Fraunhofer-AISEC/cpg repository, focusing on enhancing static analysis precision within the Code Property Graph framework. The work centered on implementing interval analysis for integers and collection sizes, introducing lattice structures and evaluators for value types to support robust abstract interpretation. Leveraging expertise in Java, Kotlin, and data flow analysis, the developer ensured comprehensive test coverage to validate the reliability and accuracy of the new analysis capabilities. This contribution enables earlier bug detection and improved code-property reasoning, supporting both developers and security analysts in maintaining a stronger security posture and more reliable codebases.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
5,107
Activity Months1
Your Network
170 peopleWork History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered Abstract Value Analysis for the Code Property Graph (CPG) in Fraunhofer-AISEC/cpg. Implemented interval analysis for integers and collection sizes within the CPG framework, introducing lattice structures, evaluators for value types, and extensive tests to validate static analysis capabilities. This work enhances precision of static analysis, enabling earlier bug detection, improved security posture, and more reliable code-property reasoning for developers and security analysts.
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered Abstract Value Analysis for the Code Property Graph (CPG) in Fraunhofer-AISEC/cpg. Implemented interval analysis for integers and collection sizes within the CPG framework, introducing lattice structures, evaluators for value types, and extensive tests to validate static analysis capabilities. This work enhances precision of static analysis, enabling earlier bug detection, improved security posture, and more reliable code-property reasoning for developers and security analysts.
October 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaKotlin
Technical Skills
Abstract InterpretationCompiler DesignData Flow AnalysisJavaKotlinStatic AnalysisSymbolic Execution
Repositories Contributed To
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