Fraunhofer-AISEC/cpg
Nov 2024 – Apr 2026
5 Months active
Languages Used
C++KotlinJava
Technical Skills
C++ Operator OverloadingCode AnalysisCompiler DevelopmentTestingScope ManagementType Inference
Tobias Specht
PROFILE
Tobias Specht
Contributed to Fraunhofer-AISEC/cpg by developing features and fixes that enhanced code analysis, build reliability, and interoperability. Delivered robust C++ operator overloading resolution and improved scope extraction, using C++ and Kotlin to refine static analysis and namespace inference. Refactored the code property graph export to JSON with an object graph mapping approach, consolidating persistence logic for maintainability and enabling downstream analytics. Addressed Unity build process regressions and upgraded dependencies for Go 1.26 compatibility, leveraging Gradle and build configuration expertise. Emphasized test-driven development, integration testing, and clear diagnostics, resulting in more reliable tooling and streamlined workflows across the repository.
Overall Statistics
Feature vs Bugs
60%Features
Repository Contributions
6Total
Bugs
2
Commits
6
Features
3
Lines of code
963
Activity Months5
Your Network
13 peopleSame Organization
@aisec.fraunhofer.de6
Work History
April 2026
2 Commits • 1 Features
Apr 1, 2026April 2026 — Fraunhofer-AISEC/cpg: Delivered a focused dependency upgrade to libgoast to ensure Go 1.26 compatibility, improving stability and access to the latest fixes. The effort comprised two commits: cf7da1128f6c0a7f76573cabc93acbc229c0f055 (Update libgoast to v0.0.6 to support Go 1.26 (#2685)) and fb660b0152c71705bec1467c678054c8fb0af1da (Update libgoast to v0.0.7 (#2692)). While no customer-reported bugs were fixed in this cycle, the upgrade mitigates potential build and parsing issues, reduces CI friction, and positions the project for smoother Go-version transitions. Demonstrates effective dependency management, Go ecosystem familiarity, and cross-team collaboration.
2 Commits • 1 Features
Apr 1, 2026April 2026 — Fraunhofer-AISEC/cpg: Delivered a focused dependency upgrade to libgoast to ensure Go 1.26 compatibility, improving stability and access to the latest fixes. The effort comprised two commits: cf7da1128f6c0a7f76573cabc93acbc229c0f055 (Update libgoast to v0.0.6 to support Go 1.26 (#2685)) and fb660b0152c71705bec1467c678054c8fb0af1da (Update libgoast to v0.0.7 (#2692)). While no customer-reported bugs were fixed in this cycle, the upgrade mitigates potential build and parsing issues, reduces CI friction, and positions the project for smoother Go-version transitions. Demonstrates effective dependency management, Go ecosystem familiarity, and cross-team collaboration.
April 2026
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 — Fraunhofer-AISEC/cpg: - Key feature delivered: Code Property Graph (CPG) export to JSON using a new Object Graph Mapping (OGM) approach. This involved refactoring the persistence layer into the core cpg module and introducing a simple ID generator to ensure node identification during export. - Testing and quality: Strengthened integration testing with example graphs and moved test assets into testFixtures to improve robustness and maintainability. - Scope and architecture: Consolidated JSON persistence within the cpg-core for easier reuse across export workflows; prepared groundwork for downstream analytics by standardizing the JSON export format. - Bugs: No critical bugs fixed this month; focus was on feature delivery, refactor, and test coverage. - Business value and impact: New JSON export enables downstream tooling and analytics, improving interoperability with external systems and dashboards; architecture now cleaner and more maintainable, reducing future integration risk. - Technologies/skills demonstrated: Object Graph Mapping (OGM), JSON persistence, core modularization (cpg-core), ID generation, integration testing with GraphExamples and testFixtures.
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 — Fraunhofer-AISEC/cpg: - Key feature delivered: Code Property Graph (CPG) export to JSON using a new Object Graph Mapping (OGM) approach. This involved refactoring the persistence layer into the core cpg module and introducing a simple ID generator to ensure node identification during export. - Testing and quality: Strengthened integration testing with example graphs and moved test assets into testFixtures to improve robustness and maintainability. - Scope and architecture: Consolidated JSON persistence within the cpg-core for easier reuse across export workflows; prepared groundwork for downstream analytics by standardizing the JSON export format. - Bugs: No critical bugs fixed this month; focus was on feature delivery, refactor, and test coverage. - Business value and impact: New JSON export enables downstream tooling and analytics, improving interoperability with external systems and dashboards; architecture now cleaner and more maintainable, reducing future integration risk. - Technologies/skills demonstrated: Object Graph Mapping (OGM), JSON persistence, core modularization (cpg-core), ID generation, integration testing with GraphExamples and testFixtures.
January 2025
1 Commits
Jan 1, 2025January 2025 monthly summary for Fraunhofer-AISEC/cpg focusing on Unity build improvements and quality assurance. Delivered a targeted fix to the Unity build process, added regression tests to prevent reoccurrence of related issues, and reinforced CI reliability with clearer test coverage and documentation around build outputs.
1 Commits
Jan 1, 2025January 2025 monthly summary for Fraunhofer-AISEC/cpg focusing on Unity build improvements and quality assurance. Delivered a targeted fix to the Unity build process, added regression tests to prevent reoccurrence of related issues, and reinforced CI reliability with clearer test coverage and documentation around build outputs.
January 2025
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for Fraunhofer-AISEC/cpg: Implemented robust scope extraction and namespace parent class inference, introduced a ScopeExtraction data class, and enhanced error handling for scope resolution failures. Added unit tests verifying parent-class inference within namespaces. The changes distinguish between a non-existent scope and a name not found within an existing scope, reducing false negatives and improving diagnostics. This work increases reliability of code property graph extraction and lays groundwork for namespace-aware analytics, enhancing downstream tooling and developer productivity.
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for Fraunhofer-AISEC/cpg: Implemented robust scope extraction and namespace parent class inference, introduced a ScopeExtraction data class, and enhanced error handling for scope resolution failures. Added unit tests verifying parent-class inference within namespaces. The changes distinguish between a non-existent scope and a name not found within an existing scope, reducing false negatives and improving diagnostics. This work increases reliability of code property graph extraction and lays groundwork for namespace-aware analytics, enhancing downstream tooling and developer productivity.
November 2024
1 Commits
Nov 1, 2024Monthly summary for 2024-11 focused on core feature fix and bug resolution in Fraunhofer-AISEC/cpg. The work enhances C++ call-resolution accuracy and test coverage, contributing to more reliable code navigation and static analysis across the repository.
1 Commits
Nov 1, 2024Monthly summary for 2024-11 focused on core feature fix and bug resolution in Fraunhofer-AISEC/cpg. The work enhances C++ call-resolution accuracy and test coverage, contributing to more reliable code navigation and static analysis across the repository.
November 2024
Activity
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Quality Metrics
Correctness91.6%
Maintainability90.0%
Architecture90.0%
Performance81.6%
AI Usage26.6%
Skills & Technologies
Programming Languages
C++JavaKotlin
Technical Skills
Build SystemsC++ Operator OverloadingCode AnalysisCompiler DevelopmentGradleJSON handlingKotlinScope ManagementTestingType InferenceUnit Testingbackend developmentbuild configurationdependency managementgraph databases
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