Towards a Configuration Management integration to Feature Models in Model-Based Product Line Engineering
Year: 2023
Editor: Kevin Otto, Boris Eisenbart, Claudia Eckert, Benoit Eynard, Dieter Krause, Josef Oehmen, Nadège Troussier
Author: Lameh, José (1,2); Dubray, Alexandra (2); Jankovic, Marija (1)
Series: ICED
Institution: 1: Université Paris Saclay - CentraleSupélec, Laboratoire Genie Industriel, Gif-sur-Yvette, France; 2: Renault, Technocentre, 1 Av. du Golf 78288 Guyancourt, France
Section: Design Methods
Page(s): 3581-3590
DOI number: https://doi.org/10.1017/pds.2023.359
ISBN: -
ISSN: -
Abstract
In parallel with the industry 4.0 revolution, customers’ demand and number of product requirements are increasing, inducing increased product variability. System complexity is growing with the new technologies and system architectures. Hence, maintaining a system consistent and in the desired state becomes crucial. This paper tackles two problems: a product’s variability and its temporal evolution. Regarding variability, Model Based Systems Engineering (MBSE) methods and Product Line Engineering (PLE) techniques become essential to configuring products by selecting and arranging features in a combination. In parallel, versioning and temporal evolution are managed with the configuration management (CM) principles. A versioned feature model (FM) is proposed. In PLE methodology, the first step is to model variability through traditional FM. This research presents an extension of the FM by integrating CM into it. The versioned FM includes not only features’ variants but also their versions, making it evolve in time. This work is presented as a base for a work that will study the application of CM for PLE. This study is done in an automotive industry context at Renault Group, and the model proposed is applied to Renault’s systems.
Keywords: Configuration Management, Product families, Product line Engineering, Product modelling / models, Systems Engineering (SE)