
Adam Zsófi contributed to the ftsrg/theta repository by engineering core enhancements to the model checking and verification pipeline. Over five months, Adam developed and refined features such as witness data modeling, trace generation, and configurable analysis flags, focusing on maintainability and correctness. Leveraging Java, Kotlin, and Gradle, Adam implemented AST and control-flow analysis improvements, CI/CD automation, and robust error handling. The work included integrating YAML and GraphML witness export, optimizing backend logic, and expanding test automation. These efforts improved analysis reliability, traceability, and developer productivity, demonstrating depth in compiler design, static analysis, and formal verification within complex software systems.
November 2025 highlights: Delivered targeted improvements across the Theta analysis pipeline, focusing on correctness, configurability, and stability. Key capabilities added include a dead ends removal flag to tune pruning, WP computation for nondeterministic calls, support for skip statements in the occurrence checker, and a switch of the bounded model checker to BOUNDED mode. Witnessing and diagnostics were broadened with return-only witnesses, trivial witnesses, overflow witnesses, and graphML witness work-in-progress, along with fixes to witness handling and metadata. Core reliability was increased via fixes to the best effort target column, function call location, and reachability validation, alongside extensive test maintenance, test relocation, and version bumps for release. These changes collectively improve reliability, traceability, and developer productivity, enabling faster iteration and more trustworthy analysis results for business-critical modeling tasks.
November 2025 highlights: Delivered targeted improvements across the Theta analysis pipeline, focusing on correctness, configurability, and stability. Key capabilities added include a dead ends removal flag to tune pruning, WP computation for nondeterministic calls, support for skip statements in the occurrence checker, and a switch of the bounded model checker to BOUNDED mode. Witnessing and diagnostics were broadened with return-only witnesses, trivial witnesses, overflow witnesses, and graphML witness work-in-progress, along with fixes to witness handling and metadata. Core reliability was increased via fixes to the best effort target column, function call location, and reachability validation, alongside extensive test maintenance, test relocation, and version bumps for release. These changes collectively improve reliability, traceability, and developer productivity, enabling faster iteration and more trustworthy analysis results for business-critical modeling tasks.
October 2025: Delivered substantial enhancements to the Theta verification workflow, improving witness quality, trace generation integration, and metadata handling, enabling more accurate LTL verification and faster issue isolation. Laid groundwork for BMC tracegen, enabling deeper verification coverage in future sprints. Fixed critical merge stability issues, tightened termination flow, and improved test automation and maintenance. Overall impact: higher verification confidence, reduced debugging time, and a stronger foundation for scalable verification pipelines. Demonstrated skills in advanced LTL tracing, trace generation, BMC groundwork, metadata filtering, code formatting and test tooling, and robust merge conflict resolution.
October 2025: Delivered substantial enhancements to the Theta verification workflow, improving witness quality, trace generation integration, and metadata handling, enabling more accurate LTL verification and faster issue isolation. Laid groundwork for BMC tracegen, enabling deeper verification coverage in future sprints. Fixed critical merge stability issues, tightened termination flow, and improved test automation and maintenance. Overall impact: higher verification confidence, reduced debugging time, and a stronger foundation for scalable verification pipelines. Demonstrated skills in advanced LTL tracing, trace generation, BMC groundwork, metadata filtering, code formatting and test tooling, and robust merge conflict resolution.
Month: 2025-09 — Delivered core CI/CD improvements and trace analysis enhancements in ftsrg/theta, with a critical logging fix. This period focused on operational reliability, traceability, and measurement accuracy to accelerate development velocity and reduce debugging time. Key outcomes include GitHub Actions-based CI with build status badges, YAML witness export during trace generation, CHC-related fixes for non-terminal witnesses, and corrected logging for concrete traces count. These changes drive faster feedback loops, more accurate metrics, and better maintainability for future work.
Month: 2025-09 — Delivered core CI/CD improvements and trace analysis enhancements in ftsrg/theta, with a critical logging fix. This period focused on operational reliability, traceability, and measurement accuracy to accelerate development velocity and reduce debugging time. Key outcomes include GitHub Actions-based CI with build status badges, YAML witness export during trace generation, CHC-related fixes for non-terminal witnesses, and corrected logging for concrete traces count. These changes drive faster feedback loops, more accurate metrics, and better maintainability for future work.
March 2025 monthly summary for ftsrg/theta focused on hardening witness validation, enriching AST/CFG representations, and tightening CHC analysis to deliver higher reliability and maintainability.
March 2025 monthly summary for ftsrg/theta focused on hardening witness validation, enriching AST/CFG representations, and tightening CHC analysis to deliver higher reliability and maintainability.
February 2025 monthly summary for ftsrg/theta focused on delivering key data-model and pipeline improvements that enhance cycle reporting fidelity, edge quality, and maintainability. The work lays a stronger foundation for scalable XCFA generation and downstream analysis.
February 2025 monthly summary for ftsrg/theta focused on delivering key data-model and pipeline improvements that enhance cycle reporting fidelity, edge quality, and maintainability. The work lays a stronger foundation for scalable XCFA generation and downstream analysis.

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