Join us for our 13 May 2025 Chapter meeting featuring:
Presenter: Marco Forlingieri
Topic: MBPLE: The Feature-Based Path to Product Lines Success
Abstract: Join us for the presentation as Marco presents a clear and concise guide to MBPLE, with industrial case studies described in his book. Model-Based Product Line Engineering (MBPLE) is the only theoretical and practical foundational book on MBPLE that brings together the topics of model-based systems engineering (MBSE) and feature-based product line engineering (PLE). It examines how PLE can benefit from a model-based and model-centric approach and, in turn, how MBSE combined with holistic PLE can boost model reuse and improve the MBSE business case.
The book combines both management and engineering aspects to deliver comprehensive coverage of the subject and real-life challenges and implementations of MBPLE, discussing adoption obstacles faced by engineering organizations and how to overcome them to ensure a successful MBPLE deployment.
Bio: Marco Forlingieri is Senior Director for PLE Services at PTC, leading worldwide the PLE technical services, with several years of experience in PLE and MBSE domains across Asia, Europe and US. He is also chair of the INCOSE PLE International Working Group and leading author of the book “MBPLE: The Feature-Based Path to Product Lines Success”.
Use the Teams link above to join the meeting.
Tutorial: Rick Dove, Agile Risk Management
Albuquerque , USA
Room 207, Workforce Training Center (WTC), 5600 Eagle Rock Ave. NE
To be effective, projects/processes/products (all viewed as systems) have to mate well with their operational environments. Operational environments are not static, they react to disturbances and evolve with opportunity and whimsy. Inserting a system into an environment is a disturbance. Sustaining a system in an environment entails compatible evolution. The environment is the problem space the system will occupy. Understanding the requirements for a compatible-to-the-space solution is best done before system functional requirements get too far ahead and shape an incompatible path. But how do we characterize the environment as a dynamic problem space and develop solution-response requirements, sufficient to guide the design of risk-mitigating agility? Characterizing the problem space is an ill-structured problem. It cannot be expressed in numbers and equations, nor solved with algorithms. This tutorial provides heuristic frameworks for developing useful characterizations of the problem space, and for developing risk-mitigating requirements for the solution space; grounded with real examples and in-class application practice. Given enough understanding about the problem, effective solution requirements and features becomes (almost) obvious. The problem shapes and constrains effective solution, but only to the extent that we understand it.
Flyer and Registration link at Library & Resources/Tutorials tab.