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Authors: Tao Yue 1 ; Shaukat Ali 2 ; Hong Lu 2 and Kunming Nie 3

Affiliations: 1 Simula Research Laboratory and University of Oslo, Norway ; 2 Simula Research Laboratory, Norway ; 3 Launch Technology Research Academy of China Aerospace Science and Industry Corporation, China

Keyword(s): Product Line Engineering, Cyber Physical System, Decision Ordering, Search Algorithms.

Abstract: Industrial Cyber Physical Systems (CPSs) are naturally complex. Manual configuration of CPS product lines is error-prone and inefficient, which warrants the need for automated support of product configuration activities such as decision inference and decision ordering. A fully automated solution is often impossible for CPSs since some decisions must be made manually by configuration engineers and thus requiring an interactive and step-by-step configuration solution. Having an interactive solution with tool support in mind, we propose a search-based solution (named as Zen-DO) to support optimal ordering of configuration steps. The optimization objective has three parts: 1) minimizing overall manual configuration steps, 2) configuring most constraining decisions first, and 3) satisfying ordering dependencies among variabilities. We formulated our optimization objective as a fitness function and investigated it along with four search algorithms: Alternating Variable Method (AVM), (1+1) Evolutionary Algorithm (EA), Genetic Algorithm, and Random Search (a comparison baseline). Their performance is evaluated in terms of finding an optimal solution for two real-world case studies of varying complexity and results show that AVM and (1+1) EA significantly outperformed the others. (More)

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Paper citation in several formats:
Yue, T.; Ali, S.; Lu, H. and Nie, K. (2016). Search-based Decision Ordering to Facilitate Product Line Engineering of Cyber-Physical System. In Proceedings of the 4th International Conference on Model-Driven Engineering and Software Development (MODELSWARD 2016) - IndTrackMODELSWARD; ISBN 978-989-758-168-7; ISSN 2184-4348, SciTePress, pages 691-703. DOI: 10.5220/0005717006910703

@conference{indtrackmodelsward16,
author={Tao Yue. and Shaukat Ali. and Hong Lu. and Kunming Nie.},
title={Search-based Decision Ordering to Facilitate Product Line Engineering of Cyber-Physical System},
booktitle={Proceedings of the 4th International Conference on Model-Driven Engineering and Software Development (MODELSWARD 2016) - IndTrackMODELSWARD},
year={2016},
pages={691-703},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005717006910703},
isbn={978-989-758-168-7},
issn={2184-4348},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Model-Driven Engineering and Software Development (MODELSWARD 2016) - IndTrackMODELSWARD
TI - Search-based Decision Ordering to Facilitate Product Line Engineering of Cyber-Physical System
SN - 978-989-758-168-7
IS - 2184-4348
AU - Yue, T.
AU - Ali, S.
AU - Lu, H.
AU - Nie, K.
PY - 2016
SP - 691
EP - 703
DO - 10.5220/0005717006910703
PB - SciTePress

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