This page collects downloadable conference presentations, draft proposals, papers, and videos related to Parallel Agile, AI-assisted MBSE, SysML v2, Pain-Free MBSE, systems engineering, and practical use case modeling.
Each resource links to a dedicated landing page with an abstract or presentation summary, topic keywords, related downloads, and relevant training or consulting links.
Structured Use Cases provides a simpler, structured approach to use case modeling in SysML v2. The proposal focuses on explicit basic, alternate, and exception scenarios composed of ordered steps, making use cases useful not only for describing behavior, but also for discovering missing requirements, generating behavioral tests, and performing model-based analysis.
The open-source project includes the SysML v2 library, examples, diagrams, and supporting material. A companion browser-based editor provides a practical environment for creating and experimenting with structured use case models.
Structured Use Cases SysML v2 OpenMBEE Behavioral Testing
This presentation explores how SysML specifications can improve agentic software synthesis. The StockPicker experiment illustrates how requirements, use cases, state machines, and test cases can reduce token cost, improve test coverage, and produce better software outcomes.
AI-Assisted MBSE Agentic Software Synthesis SysML Test Coverage
Rigorous SysML modeling does not require rigor mortis. This talk introduces the Value-to-Pain Ratio and shows how teams can reduce overloaded diagrams, weak use case narratives, missing requirements, item flow violations, and other sources of MBSE friction.
Pain-Free MBSE SysML INCOSE Use Cases
This presentation introduces a template-driven, AI-assisted approach for moving from structured English specifications to syntactically correct, Cameo-compatible SysML v2 code. Cameo-specific system and subsystem templates support incremental adoption, independent subsystem validation, model consistency, and radical productivity gains.
AI-Assisted MBSE SysML v2 Cameo 2026x Lunar Lander
This talk describes cognitive assistants as AI-driven engineering personas that support integrated systems and software engineering across requirements discovery, use case generation, interface design, code generation, automated testing, architecture, state modeling, and simulation.
Cognitive Assistants AI-Assisted MBSE AIM Process Systems EngineeringLearn practical SysML, MBSE, and use case modeling techniques that improve rigor without creating needless modeling pain.
These resources connect to Doug Rosenberg's books and Parallel Agile consulting work in AI-assisted MBSE, SysML v2, use cases, and systems engineering.
