Abstract
Product lines of software-intensive systems have a great diversity of features and products, which leads to vast design spaces that are difficult to explore. In addition, finding optimal product line system architectures usually requires a consideration of several quality trade-offs at once, involving both product-level as well as product-line-wide criteria. This challenge cannot be solved manually for all but the smallest problems, and can therefore benefit from automated support. In this paper we propose ADOOPLA, a tool-supported approach for the optimization of product line system architectures. In contrast to existing approaches where product-level approaches only support product-level criteria and product-line oriented approaches only support product-line-wide criteria, our approach integrates criteria from both levels in the optimization of product line architectures. Further, the approach can handle multiple objectives at once, supporting the architect in exploring the multi-dimensional Pareto-front of a given problem. We describe the theoretical principles of the ADOOPLA approach and demonstrate its application to a simplified case study from the automotive domain.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsNotes
- 1.
- 2.
- 3.
- 4.
- 5.
ITEA EAST-EEA (http://www.itea3.org/project/east-eea.html), ATESST, ATESST2 (http://www.atesst.org), MAENAD (http://www.maenad.eu).
- 6.
- 7.
- 8.
- 9.
- 10.
EAST-ADL package GenericConstraints [18, p. 170ff].
- 11.
MAENAD Concept Presentation on EAST-ADL Variability: http://www.maenad.eu/public/conceptpresentations/6_Variability_EAST-ADL_Introduction_2013.pdf.
- 12.
- 13.
- 14.
- 15.
References
Wägemann, T., Werner, A.: Generating multi-objective programs from variant-rich EAST-ADL product line architectures. In: GI-Jahrestagung, pp. 1673–1685 (2015)
Wägemann, T., Tavakoli Kolagari, R., Schmid, K.: Optimal product line architectures for the automotive industry. In: Modellierung 2018 (2018)
Wägemann, T., Tavakoli Kolagari, R., Schmid, K.: Exploring automotive stakeholder requirements for architecture optimization support. In: 2019 IEEE International Conference on Software Architecture Companion (ICSA-C), pp. 37–44, March 2019
Walker, M., et al.: Automatic optimisation of system architectures using EAST-ADL. J. Syst. Softw. 86(10), 2467–2487 (2013)
Mian, Z., Bottaci, L., Papadopoulos, Y., Sharvia, S., Mahmud, N.: Model transformation for multi-objective architecture optimisation of dependable systems. In: Zamojski, W., Sugier, J. (eds.) Dependability Problems of Complex Information Systems. AISC, vol. 307, pp. 91–110. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-08964-5_6
Kugele, S., Pucea, G.: Model-based optimization of automotive E/E-architectures. In: Proceedings of the 6th International Workshop on Constraints in Software Testing, Verification, and Analysis, pp. 18–29. ACM (2014)
Noir, J.L., et al.: A decision-making process for exploring architectural variants in systems engineering. In: Proceedings of the 20th International Systems and Software Product Line Conference, pp. 277–286. ACM (2016)
Xiang, Y., Zhou, Y., Zheng, Z., Li, M.: Configuring software product lines by combining many-objective optimization and SAT solvers. ACM Trans. Softw. Eng. Methodol. 26(4), 14:1–14:46 (2018)
Henard, C., Papadakis, M., Harman, M., Le Traon, Y.: Combining multi-objective search and constraint solving for configuring large software product lines. In: Proceedings of the 37th International Conference on Software Engineering, vol. 1, pp. 517–528. IEEE Press (2015)
Olaechea, R., Stewart, S., Czarnecki, K., Rayside, D.: Modelling and multi-objective optimization of quality attributes in variability-rich software. In: Proceedings of the Fourth International Workshop on Nonfunctional System Properties in Domain Specific Modeling Languages, NFPinDSML 2012, pp. 2:1–2:6. ACM, New York (2012)
Thüm, T., Apel, S., Kästner, C., Kuhlemann, M., Schaefer, I., Saake, G.: Analysis strategies for software product lines. School of Computer Science, University of Magdeburg, Technical report FIN-004-2012 (2012)
Metzger, A., Pohl, K.: Variability management in software product line engineering. In: Companion to the Proceedings of the 29th International Conference on Software Engineering, pp. 186–187. IEEE Computer Society (2007)
Clements, P., Northrop, L.: Software Product Lines: Practices and Patterns. Addison-Wesley Professional, Boston (2001)
Tischer, C., Boss, B., Müller, A., Thums, A., Acharya, R., Schmid, K.: Developing long-term stable product line architectures. In: Proceedings of the 16th International Software Product Line Conference (SPLC 2012), vol. 1, pp. 86–95. ACM (2012)
Burke, E.K., Kendall, G.: Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques. Springer, New York (2005). https://doi.org/10.1007/978-1-4614-6940-7
Blom, H., et al.: White paper version 2.1.12: EAST-ADL - an architecture description language for automotive software-intensive systems (2013)
Reiser, M.O., Tavakoli Kolagari, R., Weber, M.: Compositional variability: concepts and patterns. In: 42nd Hawaii International Conference on System Sciences, pp. 1–10 (2009)
EAST-ADL Association: EAST-ADL Domain Model Specification, Version V2.1.12 (2013). http://east-adl.info/Specification/V2.1.12/EAST-ADL-Specification_V2.1.12.pdf
Miettinen, K.: IND-NIMBUS for demanding interactive multiobjective optimization. In: Multiple Criteria Decision Making 2005, vol. 1, pp. 137–150 (2006)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Wägemann, T., Tavakoli Kolagari, R., Schmid, K. (2019). ADOOPLA - Combining Product-Line- and Product-Level Criteria in Multi-objective Optimization of Product Line Architectures. In: Bures, T., Duchien, L., Inverardi, P. (eds) Software Architecture. ECSA 2019. Lecture Notes in Computer Science(), vol 11681. Springer, Cham. https://doi.org/10.1007/978-3-030-29983-5_9
Download citation
DOI: https://doi.org/10.1007/978-3-030-29983-5_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-29982-8
Online ISBN: 978-3-030-29983-5
eBook Packages: Computer ScienceComputer Science (R0)