Hostname: page-component-586b7cd67f-g8jcs Total loading time: 0 Render date: 2024-11-26T06:25:37.608Z Has data issue: false hasContentIssue false
  • English
  • Français

TOWARDS A CONFIGURATION MANAGEMENT INTEGRATION TO FEATURE MODELS IN MODEL-BASED PRODUCT LINE ENGINEERING

Published online by Cambridge University Press:  19 June 2023

José Lameh ,
Alexandra Dubray  and
Marija Jankovic
José Lameh*
Affiliation:
Université Paris Saclay - CentraleSupélec, Laboratoire Genie Industriel, Gif-sur-Yvette, France; Renault, Technocentre, 1 Av. du Golf 78288 Guyancourt, France
Alexandra Dubray
Affiliation:
Renault, Technocentre, 1 Av. du Golf 78288 Guyancourt, France
Marija Jankovic
Affiliation:
Université Paris Saclay - CentraleSupélec, Laboratoire Genie Industriel, Gif-sur-Yvette, France;
*
Lameh, José, CentraleSupélec Université Paris Saclay, France, [email protected]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

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 ManagementProduct familiesProduct line EngineeringProduct modelling / modelsSystems Engineering (SE)
Type
Article
Information
Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 3581 - 3590
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2023. Published by Cambridge University Press

References

Astesana, J.-M., Cosserat, L. and Fargier, A. (2022), “Constraint-based Modeling and Exploitation of a Vehicle Range at Renault's: Requirement analysis and complexity study”Google Scholar
Bachmann, F. and Clements, P.C. (2005), Variability in Software Product Lines. report. Carnegie Mellon University. Available at: https://doi.org/10.1184/R1/6585860.v1CrossRefGoogle Scholar
ter Beek, M.H., Gnesi, S. and Njima, M.N. (2011), “Product Lines for Service Oriented Applications - PL for SOA”, Electronic Proceedings in Theoretical Computer Science, 61, pp. 34–48. Available at: https://doi.org/10.4204/EPTCS.61.3CrossRefGoogle Scholar
Beuche, D. (2017), “Using pure: variants Across The Product Line Lifecycle”, in Proceedings of the 21st International Systems and Software Product Line Conference - Volume B. SPLC ’17: 21st International Systems and Software Product Line Conference, Sevilla Spain: ACM, pp. 50–50. Available at: https://doi.org/10.1145/3109729.3109754CrossRefGoogle Scholar
Bossen, J. et al. (2014), “An Engineer-To-Order Mass Customization Development Framework”, in Bayro-Corrochano, E. and Hancock, E. (eds), Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Cham: Springer International Publishing (Lecture Notes in Computer Science), pp. 116–123. Available at: https://doi.org/10.1007/978-3-662-44733-8_15CrossRefGoogle Scholar
Chen, L., Ali Babar, M. and Ali, N. (2009), “Variability management in software product lines: A systematic review, Proceedings of the 13th International Software Product Line Conference, p. 90. Available at: https://doi.org/10.1145/1753235.1753247CrossRefGoogle Scholar
Clements, P. and Northrop, L. (2002), Software product lines: practices and patterns. Boston: Addison-Wesley (The SEI series in software engineering)Google Scholar
Conradi, R. and Westfechtel, B. (1998), “Version Models for Software Configuration Management”, ACM Comput. Surv., 30, pp. 232–282. Available at: https://doi.org/10.1145/280277.280280CrossRefGoogle Scholar
Díaz, J. et al. (2011), “Agile product line engineering - A systematic literature review”, Softw., Pract. Exper., 41, pp. 921–941. Available at: https://doi.org/10.1002/spe.1087CrossRefGoogle Scholar
Döringer, S. (2021), “The problem-centred expert interview”. Combining qualitative interviewing approaches for investigating implicit expert knowledge”, International Journal of Social Research Methodology, 24(3), pp. 265–278. Available at: https://doi.org/10.1080/13645579.2020.1766777CrossRefGoogle Scholar
Dumitrescu, C., Salinesi, C. and Dauron, A. (2011), “Formalization and Exploitation of the Coupling between Systems Engineering Methods and Product Lines”, INSIGHT - International Council on Systems Engineering (INCOSE), 14(4), pp. 12–13Google Scholar
Forlingieri, M. (2022), “The four dimensions of Variability and their impact on MBPLE: How to approach variability in the development of aircraft product lines at Airbus”, in Proceedings of the 16th International Working Conference on Variability Modelling of Software-Intensive Systems. New York, NY, USA: Association for Computing Machinery (VaMoS ’22), pp. 1–4. Available at: https://doi.org/10.1145/3510466.3511275CrossRefGoogle Scholar
Galante, R. et al. (2005), “Temporal and versioning model for schema evolution in object-oriented databases”, Data Knowl. Eng., 53, pp. 99–128. Available at: https://doi.org/10.1016/j.datak.2004.07.001CrossRefGoogle Scholar
Ghafoor, A. et al. (eds), (2005), Eight IEEE International Symposium on Object-Oriented Real-Time Distributed Computing: proceedings: ISORC 2005: 18-20 May, 2005, Seattle, Washington. International Symposium on Object-Oriented Real-Time Distributed Computing, Los Alamitos, Calif: IEEE Computer SocietyGoogle Scholar
van Gurp, J. (2000), Variability in software systems: the key to software reuse. Dept. of Software Engineering & Computer Science, Blekinge Institute of Technology.Google Scholar
ISO/IEC 26580 (2013), ISO/IEC 26580:2021, ISO. Available at: https://www.iso.org/cms/render/live/fr/sites/isoorg/contents/data/standard/04/31/43139.html (Accessed: 29 July 2022)Google Scholar
Kang, K.C. et al. (1990), Feature-Oriented Domain Analysis (FODA), Feasibility Study: Fort Belvoir, VA: Defense Technical Information Center. Available at: https://doi.org/10.21236/ADA235785CrossRefGoogle Scholar
Keyes, J. (2004), Software configuration management. Boca Raton, FL: Auerbach Publications. Available at: http://www.books24x7.com/marc.asp?isbn=0849319765 (Accessed: 28 July 2022)CrossRefGoogle Scholar
Lindohf, R. et al. (2021), “Software product-line evaluation in the large”, Empirical Software Engineering, 26(2), p. 30. Available at: https://doi.org/10.1007/s10664-020-09913-9CrossRefGoogle Scholar
Masadeh, M. (2012), “Focus Group: Reviews and Practices”, International Journal of Applied Science and Technology, 2, pp. 63–68Google Scholar
Meuser, M. and Nagel, U. (2009), “The Expert Interview and Changes in Knowledge Production”, in, pp. 17–42. Available at: https://doi.org/10.1057/9780230244276_2CrossRefGoogle Scholar
Mohagheghi, P. and Conradi, R. (2008), “An empirical investigation of software reuse benefits in a large telecom product”, ACM Transactions on Software Engineering and Methodology, 17(3), pp. 1–31. Available at: https://doi.org/10.1145/1363102.1363104CrossRefGoogle Scholar
Nord, R. (ed.), (2004), Software product lines: Third International Conference, SPLC 2004, Boston, MA, USA, August 30-September 2, 2004: proceedings. Software Product Lines Conference, Berlin; New York: Springer (Lecture notes in computer science, 3154)Google Scholar
van Ommering, R. (2001), Configuration Management in Component Based Product Populations, p. 23. Available at: https://doi.org/10.1007/3-540-39195-9_2CrossRefGoogle Scholar
Ouali, S. et al. (2013), “A Model Driven Software Product Line Process for Developing Applications”, in Franch, X. and Soffer, P. (eds), Advanced Information Systems Engineering Workshops. Berlin, Heidelberg: Springer Berlin Heidelberg (Lecture Notes in Business Information Processing), pp. 447–454. Available at: https://doi.org/10.1007/978-3-642-38490-5_40CrossRefGoogle Scholar
Ouali, S., Kraiem, N. and Ben Ghezala, H. (2022), “A Flexible Security Process for SPL construction’.Google Scholar
Peng, X., Zhao, W. and Zhu, C. (2006), Integrating Configuration Management and Process Management Based on Life Cycle Control, p. 196. Available at: https://doi.org/10.1109/CIT.2006.108CrossRefGoogle Scholar
Renault (no date), Renault's Internal documentations: internet and intranet websitesGoogle Scholar
Saniuk, A. and Waszkowski, R. (2016), “Make-to-order manufacturing - new approach to management of manufacturing processes”, IOP Conference Series: Materials Science and Engineering, 145(2), p. 022005. Available at: https://doi.org/10.1088/1757-899X/145/2/022005CrossRefGoogle Scholar
Schmid, K. and John, I. (2004), “A customizable approach to full lifecycle variability management”, Science of Computer Programming, 53(3), pp. 259–284. Available at: https://doi.org/10.1016/j.scico.2003.04.002.CrossRefGoogle Scholar
Sheng, R. (2019), “Chapter 6 - Managing People, Product, and Process (P3), implementation”, in R. Sheng (ed.), Systems Engineering for Aerospace. Academic Press, pp. 75–112. Available at: https://doi.org/10.1016/B978-0-12-816458-7.00006-5CrossRefGoogle Scholar
Snyder, H. (2019), “Literature review as a research methodology: An overview and guidelines”, Journal of Business Research, 104, pp. 333–339. Available at: https://doi.org/10.1016/j.jbusres.2019.07.039.CrossRefGoogle Scholar
Wahyudianto, Budiardjo, and Zamzami, E., E. (2014), “Feature Modeling and Variability Modeling Syntactic Notation Comparison and Mapping”, Journal of Computer and Communications, 02, pp. 101–108. Available at: https://doi.org/10.4236/jcc.2014.22018Google Scholar
Wolff, K. et al. (2021), “Effects Of Different Order Processing Strategies On Operating Curves Of Logistic Models: A Comparison Of Make-to-Order And Make-to-Stock’. Available at: https://doi.org/10.15488/11532CrossRefGoogle Scholar
Xing, T. (2010), “Software configuration management of change control study based on baseline”, in 2010 International Conference on Intelligent Control and Information Processing. 2010 International Conference on Intelligent Control and Information Processing, pp. 93–96. Available at: https://doi.org/10.1109/ICICIP.2010.5565288CrossRefGoogle Scholar
Xu, H. et al. (2021), “Optimisation for the product configuration system of Renault: towards an integration of symmetries”, in Proceedings of the 25th ACM International Systems and Software Product Line Conference - Volume B. SPLC ’21: 25th ACM International Systems and Software Product Line Conference, Leicester United Kindom: ACM, pp. 86–90. Available at: https://doi.org/10.1145/3461002.3473948CrossRefGoogle Scholar