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Title: Model-based systems product line engineering with physical design variability for aircraft systems
Authors: Li, Mole
Guan, Lin
Dickerson, Charles E.
Grigg, Alan
Keywords: Product line
Model-based systems engineering
Cyber-physical systems
Variability modelling
Issue Date: 2016
Publisher: © IEEE
Citation: LI, M. ... et al., 2016. Model-based systems product line engineering with physical design variability for aircraft systems. IN: Proceedings of 11th 2016 IEEE International Conference on System of Systems Engineering (SoSE 2016), Kongsberg, Norway, 12-16 June 2016.
Abstract: Software Product Line Engineering (SPLE) has drawn large amounts of attention during the last two decades as it offers the benefits of reducing cost and time to market by reusing requirements and components. Recently, more and more large scale industries start to implement SPLE in their domains (combining SPLE with model-based modelling methods). However, the problem of how to combine SPLE with Model-Based System Engineering is still a challenge, as systems are much broader than the software domain. Unlike software engineering, system engineering has to consider the physical resources aspect. This paper classifies typical types of physical variability and provides general modelling solutions for each type of physical variation at the system design stage. Specifically, this approach combines a variability model with a SysML Block Definition Diagram and an Internal Block Diagram to model the contextual variability, architectural variability, connector variability, instance number variability, component variability, location variability and evolutional variability of physical designs. Variability is modelled separately to help reduce the complexity of design models. Last but not least, the proposed method is illustrated by an aircraft system case study.
Description: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Version: Accepted for publication
DOI: 10.1109/SYSOSE.2016.7542933
URI: https://dspace.lboro.ac.uk/2134/21652
Publisher Link: http://dx.doi.org/10.1109/SYSOSE.2016.7542933
ISBN: 9781467387279
Appears in Collections:Conference Papers and Presentations (Computer Science)

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