Author

Taylan G. Topcu

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#artificial intelligence Review Oct 2026

MARQ: A Modular, LLM-Agnostic Requirement Quality Assessor Infused with Systems Engineering Knowledge

Criterion-level analysis shows gains concentrated in Correctness and Conformance, trade-offs between misses and false alarms within individual criteria, and model-dependent responses across several criteria, which position SE knowledge infusion as a promising model-agnostic pathway for strengthening trustworthy LLM-bas...

J. Shefa, Alejandro Salado, Paul Wach et al. · 0 citations

Review Open access Aug 2026

What Is the Return on Investment of Digital Engineering for Complex Systems Development Schedules? Findings From a Mixed‐Methods Case Study on the Post‐Production Design Change Processes of Navy Assets

This research presents the first quantitative evidence of DE's potential ROI, offering practitioners and policy‐makers a basis for DE investment decisions for system lifecycle management and provides evidence‐based guidance on how to align DE transformation efforts with organizational processes and behaviors.

J. Shefa, Taylan G. Topcu · Systems Engineering · 1 citation

Jul 2026

Natural-Language to SysMLv2 Translation via Conformance-Driven Iterative Refinement

A conformance-checker-driven framework for reliable natural-language-to-SysMLv2 translation that enforces production-level acceptance as the termination condition and converts probabilistic outputs into production-accepted SysMLv2 artifacts suitable for loading, visualization, and engineering use.

Chance LaVoie, Eladio Andujar Lugo, Taylan G. Topcu et al. · arXiv.org · 1 citation