research-article

Multi-variability modeling and realization for software derivation in industrial automation management

Authors:

Christoph ElsnerAuthors Info & Claims

MODELS '16: Proceedings of the ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems

Pages 2 - 12

https://doi.org/10.1145/2976767.2976804

Published: 02 October 2016 Publication History

Abstract

The systems of industrial automation management (IAM) are in the domain of information systems. IAM systems have software components that support manufacturing processes. The operational parts of IAM coordinate highly plug-compatible hardware devices. These functions lead to process and topology variability, which result in development and reuse challenges for software engineers in practice. This paper presents an approach aiming at improving the development and derivation of one IAM software family within Siemens. The approach integrates feature modeling with domain-specific modeling languages (DSMLs) for variability representation. Moreover, by combining code generation techniques, the configuration of variability models can be used to automate the software derivation. We report on a case study of applying the approach in practice. The outcome shows the enhancement of variability representation by introducing DSMLs and the improvement on automating software derivation. Finally, we present the lessons learned during the execution of this case study.

References

[1]

MagicDraw. http://www.nomagic.com/products/magicdraw.html.

[2]

MOF. http://www.omg.org/spec/MOF/2.5/PDF/.

[3]

Xpand. http://wiki.eclipse.org/Xpand.

[4]

R. Behjati, T. Yue, L. Briand, and B. Selic. Simpl: a product-line modeling methodology for families of integrated control systems. Information and Software Technology, 55(3):607--629, 2013.

Digital Library

[5]

T. Berger, Ş. Stănciulescu, O. Øgård, Ø. Haugen, B. Larsen, and A. Wasowski. To connect or not to connect: experiences from modeling topological variability. In Software Product Line Conference (SPLC), pages 330--339. ACM, 2014.

Digital Library

[6]

J. Bosch. Maturity and evolution in software product lines: Approaches, artefacts and organization. In Software Product Lines Conference (SPLC), pages 257--271. Springer, 2002.

Digital Library

[7]

T. J. Brown, R. Gawley, R. Bashroush, I. Spence, P. Kilpatrick, and C. Gillan. Weaving behavior into feature models for embedded system families. In Software Product Line Conference (SPLC), pages 52--61. IEEE, 2006.

Digital Library

[8]

L. Chen, M. Ali Babar, and N. Ali. Variability management in software product lines: a systematic review. In Software Product Line Conference (SPLC), pages 81--90. Carnegie Mellon University, 2009.

Digital Library

[9]

A. Classen, Q. Boucher, and P. Heymans. A text-based approach to feature modelling: Syntax and semantics of tvl. Science of Computer Programming, 76(12):1130--1143, 2011.

Digital Library

[10]

K. Czarnecki, P. Grünbacher, R. Rabiser, K. Schmid, and A. Wasowski. Cool features and tough decisions: a comparison of variability modeling approaches. In workshop on variability modeling of software-intensive systems, pages 173--182. ACM, 2012.

Digital Library

[11]

D. Dhungana, H. Schreiner, M. Lehofer, M. Vierhauser, R. Rabiser, and P. Grünbacher. Modeling multiplicity and hierarchy in product line architectures: Extending a decision-oriented approach. In 2014 IEEE/IFIP Conference on Software Architecture (WICSA), page 11. ACM, 2014.

Digital Library

[12]

M. Fang, G. Leyh, C. Elsner, and J. Doerr. Experiences during extraction of variability models for warehouse management systems. In Software Engineering Conference (APSEC), pages 111--116. IEEE, 2013.

[13]

M. Fang, G. Leyh, C. Elsner, J. Doerr, and J. Zhao. Towards model-based derivation of systems in the industrial automation domain. In Software Product Line Conference (SPLC). ACM, 2015.

Digital Library

[14]

G. Gröner, M. BošKKović, F. S. Parreiras, and D. GašKEvić. Modeling and validation of business process families. Information Systems, 38(5):709--726, 2013.

Digital Library

[15]

G. Halmans and K. Pohl. Communicating the variability of a software-product family to customers. Software and Systems Modeling, 2(1):15--36, 2003.

[16]

C. Heinzemann and S. Becker. Executing reconfigurations in hierarchical component architectures. In ACM Sigsoft symposium on Component-based software engineering (CBSE), pages 3--12. ACM, July 2013.

Digital Library

[17]

M. Kowal and I. Schaefer. Incremental consistency checking in delta-oriented uml-models for automation systems. In Workshop on Formal Methods and Analysis in Software Product Line Engineering, 2016.

[18]

R. E. Lopez-Herrejon, L. Montalvillo-Mendizabal, and A. Egyed. From requirements to features: An exploratory study of feature-oriented refactoring. In Software Product Line Conference (SPLC), pages 181--190. IEEE, 2011.

Digital Library

[19]

J. Luoma, S. Kelly, and J.-P. Tolvanen. Defining domain-specific modeling languages: Collected experiences. In Workshop on Domain-Specific Modeling, 2004.

[20]

K. Nie, T. Yue, S. Ali, L. Zhang, and Z. Fan. Constraints: The core of supporting automated product configuration of cyber-physical systems. In International Conference on Model Driven Engineering Languages and Systems, pages 370--387. Springer, 2013.

Digital Library

[21]

C. Pillai, R. Fabel, and L. Somers. Model Based Control Software Synthesis for Paper Handling in Printers. Eindhoven University of Technology, 2009.

[22]

R. Rabiser, P. Grünbacher, and D. Dhungana. Requirements for product derivation support: Results from a systematic literature review and an expert survey. Information and Software Technology, 52(3):324--346, 2010.

Digital Library

[23]

P. Runeson and M. Höst. Guidelines for conducting and reporting case study research in software engineering. Empirical software engineering, 14(2):131--164, 2009.

Digital Library

[24]

M. Svahnberg, J. Van Gurp, and J. Bosch. A taxonomy of variability realization techniques. Software: Practice and Experience, 35(8):705--754, 2005.

Digital Library

[25]

J.-P. Tolvanen and S. Kelly. Defining domain-specific modeling languages to automate product derivation: Collected experiences. In Software Produce Line Concerence (SPLC), pages 198--209. Springer, 2005.

Digital Library

[26]

B. Trask, D. Paniscotti, A. Roman, and V. Bhanot. Using model-driven engineering to complement software product line engineering in developing software defined radio components and applications. In Software Product Line Conference (SPLC), pages 846--853. ACM, 2006.

Digital Library

[27]

S. Urli, M. Blay-Fornarino, and P. Collet. Handling complex configurations in software product lines: a tooled approach. In Software Product Line Conference (SPLC), pages 112--121. ACM, 2014.

Digital Library

[28]

A. Vallecillo. On the combination of domain specific modeling languages. In European Conference on Modelling Foundations and Applications (ECMFA), pages 305--320. Springer, 2010.

Digital Library

[29]

M. Voelter and I. Groher. Product line implementation using aspect-oriented and model-driven software development. In Software Product Line Conference, pages 233--242. IEEE, 2007.

Digital Library

[30]

M. Weidlich, J. Mendling, and M. Weske. A foundational approach for managing process variability. In Advanced Information Systems Engineering, pages 267--282. Springer, 2011.

Digital Library

Cited By

Becker MRabiser RBotterweck G(2024)Not Quite There Yet: Remaining Challenges in Systems and Software Product Line Engineering as Perceived by Industry PractitionersProceedings of the 28th ACM International Systems and Software Product Line Conference10.1145/3646548.3672587(179-190)Online publication date: 2-Sep-2024
https://dl.acm.org/doi/10.1145/3646548.3672587
Fadhlillah HFeichtinger KSonnleithner LRabiser RZoitl AMousavi MSchobbens P(2021)Towards heterogeneous multi-dimensional variability modeling in cyber-physical production systemsProceedings of the 25th ACM International Systems and Software Product Line Conference - Volume B10.1145/3461002.3473941(123-129)Online publication date: 6-Sep-2021
https://dl.acm.org/doi/10.1145/3461002.3473941
Fadhlillah HWiesmayr BOberlehner MRabiser RZoitl A(2021)Towards Delta-Oriented Variability Modeling for IEC 614992021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )10.1109/ETFA45728.2021.9613293(1-4)Online publication date: 7-Sep-2021
https://dl.acm.org/doi/10.1109/ETFA45728.2021.9613293
Show More Cited By

Recommendations

Towards Multidisciplinary Delta-Oriented Variability Management in Cyber-Physical Production Systems
VaMoS '22: Proceedings of the 16th International Working Conference on Variability Modelling of Software-Intensive Systems

Cyber-Physical Production Systems (CPPSs) are complex systems comprised of software and hardware interacting with each other and the environment. In industry, over time, a plethora of CPPSs are developed to satisfy varying customer requirements and ...
Variability modeling with the integrated variability modeling language (IVML) and EASy-producer
SPLC '18: Proceedings of the 22nd International Systems and Software Product Line Conference - Volume 1

EASy-Producer is an open-source research toolset for engineering product lines, variability-rich software ecosystems, and dynamic software product lines. In this tutorial, we will focus on its (textual) variability modeling capabilities as well as its ...
Variability Modeling and Implementation with EASy-Producer
SPLC '19: Proceedings of the 23rd International Systems and Software Product Line Conference - Volume A

EASy-Producer is an open-source research toolset for engineering product lines, variability-rich software ecosystems, and dynamic software product lines. In this tutorial, we will introduce its (textual) variability modeling capabilities realized by the ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences

MODELS '16: Proceedings of the ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems

October 2016

414 pages

ISBN:9781450343213

DOI:10.1145/2976767

General Chairs:
Benoit Baudry
Inria, France
,
Benoit Combemale
Inria, France
,
Program Chairs:
Jörg Kienzle
McGill University, Montreal, Canada
,
Alexander Pretschner
Technical University Munich, Germany

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Sponsors

SIGSOFT: ACM Special Interest Group on Software Engineering
IEEE-CS: Computer Society

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 October 2016

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

MODELS '16

Sponsor:

SIGSOFT
IEEE-CS

MODELS '16: ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems

October 2 - 7, 2016

Saint-malo, France

Acceptance Rates

Overall Acceptance Rate 144 of 506 submissions, 28%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

4
Total Citations
View Citations
196
Total Downloads

Downloads (Last 12 months)10
Downloads (Last 6 weeks)0

Reflects downloads up to 08 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

Becker MRabiser RBotterweck G(2024)Not Quite There Yet: Remaining Challenges in Systems and Software Product Line Engineering as Perceived by Industry PractitionersProceedings of the 28th ACM International Systems and Software Product Line Conference10.1145/3646548.3672587(179-190)Online publication date: 2-Sep-2024
https://dl.acm.org/doi/10.1145/3646548.3672587
Fadhlillah HFeichtinger KSonnleithner LRabiser RZoitl AMousavi MSchobbens P(2021)Towards heterogeneous multi-dimensional variability modeling in cyber-physical production systemsProceedings of the 25th ACM International Systems and Software Product Line Conference - Volume B10.1145/3461002.3473941(123-129)Online publication date: 6-Sep-2021
https://dl.acm.org/doi/10.1145/3461002.3473941
Fadhlillah HWiesmayr BOberlehner MRabiser RZoitl A(2021)Towards Delta-Oriented Variability Modeling for IEC 614992021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )10.1109/ETFA45728.2021.9613293(1-4)Online publication date: 7-Sep-2021
https://dl.acm.org/doi/10.1109/ETFA45728.2021.9613293
Folkerts HPawletta TDeatcu CZeigler BDel Barrio ABarros FHu XKavak H(2020)Automated, reactive pruning of system entity structures for simulation engineeringProceedings of the 2020 Spring Simulation Conference10.5555/3408207.3408279(1-12)Online publication date: 19-May-2020
https://dl.acm.org/doi/10.5555/3408207.3408279

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten