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Title: Model-based systems engineering with requirements variability for embedded real-time systems
Authors: Li, Mole
Batmaz, Firat
Guan, Lin
Grigg, Alan
Ingham, Matthew
Bull, Peter
Keywords: Product line
Requirement engineering
Embedded real-time system
Variability modelling
Issue Date: 2015
Publisher: © IEEE
Citation: LI, M. ... et al., 2015. Model-based systems engineering with requirements variability for embedded real-time systems. IN: Proceedings of 2015 5th IEEE International Model-Driven Requirements Engineering Workshop (MoDRE 2015), Ottawa, Canada, 24 August 2015, pp.36-45.
Abstract: Product Line Engineering (PLE) offers the benefits of reducing costs and time to market by reusing requirements and components. Current PLE methods, however, mainly focus on the software aspects and are lacking in support for many system level concerns like physical and non-functional require-ments (Quality of Service attributes) that play an important role in the development of Embedded Real-Time Systems (RTS). This paper proposes a new method to support a combination of variability modelling (a key feature of PLE) and model-based requirement engineering (in SysML) for Embedded RTS. It provides four main contributions: 1. it extends the Orthogonal Variability Model (OVM) to support the separation of function-al, physical and non-functional variability; 2. it proposes a mechanism for the evolution of variability; 3. stakeholders' specifications for variable requirements are extended by the proposed approach; 4. it increases the consistency of system models by directly using SysML Activity Diagrams and Block Definition Diagrams as a base model for refining variability models for requirement representation. The proposed method is illustrated by an Aircraft Engine Control System case study.
Description: © 2015 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/MoDRE.2015.7343874
URI: https://dspace.lboro.ac.uk/2134/21653
Publisher Link: http://dx.doi.org/10.1109/MoDRE.2015.7343874
ISBN: 9781509001101
Appears in Collections:Conference Papers and Presentations (Computer Science)

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