11 papers
Brittle by Design? Multi-Scenario Reinforcement Learning for Robust Mission Coordination in Systems of Systems
İbrahim Oğuz Çetinkaya, Sajad Khodadadian, Taylan Topcu
As systems engineering (SE) shifts from monolithic systems to Systems of Systems, Mission Engineering (ME) has emerged as a new line of thinking in SE. Mission environments are unc…
Two Truths and A Lie? Benchmarking Off-the-Shelf LLMs for Requirements Quality Assessment: Performance, False Alarms, and Misses
Jannatul Shefa, Alejandro Salado, Paul Wach +1
Requirements engineering (RE) governs the quality of everything downstream in systems engineering (SE); defective requirements that survive review cycles propagate into design rewo…
Natural-Language to SysMLv2 Translation via Conformance-Driven Iterative Refinement
Chance LaVoie, Eladio Andujar Lugo, Taylan G. Topcu +1
Model-Based Systems Engineering (MBSE) relies on formal system models as primary technical artifacts for representing requirements, structure, and behavior across the system lifecy…
Leveraging High-Fidelity Digital Models and Reinforcement Learning for Mission Engineering: A Case Study of Aerial Firefighting Under Perfect Information
İbrahim Oğuz Çetinkaya, Sajad Khodadadian, Taylan G. Topcu
As systems engineering (SE) objectives evolve from design and operation of monolithic systems to complex System of Systems (SoS), the discipline of Mission Engineering (ME) has eme…
What is the Return on Investment of Digital Engineering for Complex Systems Development? Findings from a Mixed-Methods Study on the Post-production Design Change Process of Navy Assets
Jannatul Shefa, Taylan G. Topcu
Complex engineered systems routinely face schedule and cost overruns, along with poor post-deployment performance. Championed by both INCOSE and the U.S. Department of Defense (DoD…
An Analysis of Early-Stage Functional Safety Analysis Methods and Their Integration into Model-Based Systems Engineering
Jannatul Shefa, Taylan G. Topcu
As systems become increasingly complex, conducting effective safety analysis in the earlier phases of a system's lifecycle is essential to identify and mitigate risks before they e…
Digital Engineering Transformation as a Sociotechnical Challenge: Categorization of Barriers and Their Mapping to DoD's Policy Goals
Md Doulotuzzaman Xames, Taylan G. Topcu
Digital Engineering (DE) transformation represents a paradigm shift in systems engineering (SE), aiming to integrate diverse analytical models and digital artifacts into an authori…
Stakeholder Perspectives on Digital Twin Implementation Challenges in Healthcare: Insights from a Provider Digital Twin Case Study
Md Doulotuzzaman Xames, Taylan G. Topcu
Digital twin (DT) technology holds immense potential for transforming healthcare systems through real-time monitoring, predictive analysis, and agile interventions to support vario…
Exploring Core and Periphery Precepts in Biological and Artificial Intelligence: An Outcome-Based Perspective
Niloofar Shadab, Tyler Cody, Alejandro Salado +3
Engineering methodologies predominantly revolve around established principles of decomposition and recomposition. These principles involve partitioning inputs and outputs at the co…
Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes
Taylan G. Topcu, Mohammed Husain, Max Ofsa +1
Multi-purpose Large Language Models (LLMs), a subset of generative Artificial Intelligence (AI), have recently made significant progress. While expectations for LLMs to assist syst…
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability
Max Ofsa, Taylan G. Topcu
Systems engineering (SE) is evolving with the availability of generative artificial intelligence (AI) and the demand for a systems-of-systems perspective, formalized under the purv…