Without software there is no system.
Doug Rosenberg is the founder and CEO of Parallel Agile, Inc., and has been a thought leader in software and systems engineering and object-oriented design for more than 3 decades. AI Assisted MBSE (AIM) is his 9th book.
He founded and managed ICONIX Software Engineering from 1984 until 2014. His work in the 1990s included integrating the modeling approaches of Booch, Rumbaugh, and Jacobson several years before the creation of UML. This integrated approach is known as the ICONIX Process.
For the last decade, he has been on a mission to integrate systems engineering and software engineering since virtually every system being built involves software, yet many systems engineering approaches fail to consider software. AIM is a major step towards that goal.
Pain-Free MBSE
Pain-Free MBSE is a practical guide to applying SysML without the unnecessary pain. Too often, MBSE gets a bad reputation for being slow, rigid, or overly complex. This book changes that. Using the Lunar Lander as a running example, it exposes high-pain modeling practices and introduces simpler, more effective alternatives. You'll learn how to apply the Value-to-Pain Ratio (VPR) to streamline your process, improve collaboration, and build models that work in the real world. Whether you’re a systems engineer, software developer, or decision-maker, Pain-Free MBSE helps you model with confidence — and without the headaches.
More info →
AI Assisted MBSE with SysML
The book highlights the significance of software in systems engineering and uses AI as a subject matter expert. It presents a comprehensive example that covers SysML modeling, including requirements, use cases, logical/ physical architecture, and parametric simulation. It then continues into software, leveraging AI's code generation capabilities to produce software including microcontroller, UI, and DMBS code. It introduces a variety of personas and agents that can help engineers communicate with AI about systems and software engineering.
The book also introduces SysML v2, focusing on the new language model and exploring AI's ability to generate models via code generation. Perhaps most importantly, it provides a straightforward roadmap for hardware/software co-design, accelerated at every step by AI.
Whether you're a systems or software engineer, or just interested in how to use AI for engineering, AI Assisted MBSE with SysML will prove to be a valuable guide.
More info →
