Supporting multiplicity and hierarchy in model-based configuration: Experiences and lessons learned

Rick Rabiser; Michael Vierhauser; Paul Grünbacher; Deepak Dhungana; Herwig Schreiner; Martin Lehofer

doi:10.1007/978-3-319-11653-2_20

Supporting multiplicity and hierarchy in model-based configuration: Experiences and lessons learned

Rick Rabiser, Michael Vierhauser, Paul Grünbacher, Deepak Dhungana, Herwig Schreiner, Martin Lehofer

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

Abstract

When developing large-scale industrial software systems engineers need to instantiate, configure, and deploy diverse reusable components. The number of component instances required depends on customer requirements only known during configuration and is typically unknown when modeling the systems’ variability. Also, the hierarchy of dynamically created component instances leads to complex dependencies between configuration decisions. Dealing with component multiplicity and hierarchy thus requires an approach capable of expressing the dependencies among dynamically instantiated components and configuration decisions. Furthermore, users need tool support for navigating the complex decision space during configuration. In this experience paper we report on applying a decision-oriented modeling approach for defining component variability, multiplicity, and hierarchy. We further present a configuration tool that guides end users through the complex decision space. We report applications of the approach to industrial software systems and describe patterns and lessons learned.

Originalsprache	Englisch
Titel	Model-Driven Engineering Languages and Systems - 17th International Conference, MODELS 2014, Valencia, Spain, September 28 - October 3, 2014. Proceedings
Redakteure/-innen	Jürgen Dingel, Wolfram Schulte, Isidro Ramos, Silvia Abrahão, Emilio Insfrán
Herausgeber (Verlag)	Springer
Seiten	320-336
Seitenumfang	17
Band	8767
DOIs	https://doi.org/10.1007/978-3-319-11653-2_20
Publikationsstatus	Veröffentlicht - 4 Okt. 2014
Extern publiziert	Ja

Publikationsreihe

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)	0302-9743

Forschungsfelder

Product Configuration
Self-adaptive Systems

IMC Forschungsschwerpunkte

Software engineering and intelligent systems

ÖFOS 2012 - Österreichischen Systematik der Wissenschaftszweige

102028 Knowledge Engineering
102015 Informationssysteme

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

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10.1007/978-3-319-11653-2_20

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Rabiser, R., Vierhauser, M., Grünbacher, P., Dhungana, D., Schreiner, H., & Lehofer, M. (2014). Supporting multiplicity and hierarchy in model-based configuration: Experiences and lessons learned. in J. Dingel, W. Schulte, I. Ramos, S. Abrahão, & E. Insfrán (Hrsg.), Model-Driven Engineering Languages and Systems - 17th International Conference, MODELS 2014, Valencia, Spain, September 28 - October 3, 2014. Proceedings (Band 8767, S. 320-336). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Springer. https://doi.org/10.1007/978-3-319-11653-2_20

Rabiser, Rick ; Vierhauser, Michael ; Grünbacher, Paul et al. / Supporting multiplicity and hierarchy in model-based configuration: Experiences and lessons learned. Model-Driven Engineering Languages and Systems - 17th International Conference, MODELS 2014, Valencia, Spain, September 28 - October 3, 2014. Proceedings. Hrsg. / Jürgen Dingel ; Wolfram Schulte ; Isidro Ramos ; Silvia Abrahão ; Emilio Insfrán. Band 8767 Springer, 2014. S. 320-336 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Supporting multiplicity and hierarchy in model-based configuration: Experiences and lessons learned",

abstract = "When developing large-scale industrial software systems engineers need to instantiate, configure, and deploy diverse reusable components. The number of component instances required depends on customer requirements only known during configuration and is typically unknown when modeling the systems{\textquoteright} variability. Also, the hierarchy of dynamically created component instances leads to complex dependencies between configuration decisions. Dealing with component multiplicity and hierarchy thus requires an approach capable of expressing the dependencies among dynamically instantiated components and configuration decisions. Furthermore, users need tool support for navigating the complex decision space during configuration. In this experience paper we report on applying a decision-oriented modeling approach for defining component variability, multiplicity, and hierarchy. We further present a configuration tool that guides end users through the complex decision space. We report applications of the approach to industrial software systems and describe patterns and lessons learned.",

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author = "Rick Rabiser and Michael Vierhauser and Paul Gr{\"u}nbacher and Deepak Dhungana and Herwig Schreiner and Martin Lehofer",

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Rabiser, R, Vierhauser, M, Grünbacher, P, Dhungana, D, Schreiner, H & Lehofer, M 2014, Supporting multiplicity and hierarchy in model-based configuration: Experiences and lessons learned. in J Dingel, W Schulte, I Ramos, S Abrahão & E Insfrán (Hrsg.), Model-Driven Engineering Languages and Systems - 17th International Conference, MODELS 2014, Valencia, Spain, September 28 - October 3, 2014. Proceedings. Bd. 8767, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, S. 320-336. https://doi.org/10.1007/978-3-319-11653-2_20

Supporting multiplicity and hierarchy in model-based configuration: Experiences and lessons learned. / Rabiser, Rick; Vierhauser, Michael; Grünbacher, Paul et al.
Model-Driven Engineering Languages and Systems - 17th International Conference, MODELS 2014, Valencia, Spain, September 28 - October 3, 2014. Proceedings. Hrsg. / Jürgen Dingel; Wolfram Schulte; Isidro Ramos; Silvia Abrahão; Emilio Insfrán. Band 8767 Springer, 2014. S. 320-336 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Supporting multiplicity and hierarchy in model-based configuration: Experiences and lessons learned

AU - Rabiser, Rick

AU - Vierhauser, Michael

AU - Grünbacher, Paul

AU - Dhungana, Deepak

AU - Schreiner, Herwig

AU - Lehofer, Martin

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2014.

PY - 2014/10/4

Y1 - 2014/10/4

N2 - When developing large-scale industrial software systems engineers need to instantiate, configure, and deploy diverse reusable components. The number of component instances required depends on customer requirements only known during configuration and is typically unknown when modeling the systems’ variability. Also, the hierarchy of dynamically created component instances leads to complex dependencies between configuration decisions. Dealing with component multiplicity and hierarchy thus requires an approach capable of expressing the dependencies among dynamically instantiated components and configuration decisions. Furthermore, users need tool support for navigating the complex decision space during configuration. In this experience paper we report on applying a decision-oriented modeling approach for defining component variability, multiplicity, and hierarchy. We further present a configuration tool that guides end users through the complex decision space. We report applications of the approach to industrial software systems and describe patterns and lessons learned.

AB - When developing large-scale industrial software systems engineers need to instantiate, configure, and deploy diverse reusable components. The number of component instances required depends on customer requirements only known during configuration and is typically unknown when modeling the systems’ variability. Also, the hierarchy of dynamically created component instances leads to complex dependencies between configuration decisions. Dealing with component multiplicity and hierarchy thus requires an approach capable of expressing the dependencies among dynamically instantiated components and configuration decisions. Furthermore, users need tool support for navigating the complex decision space during configuration. In this experience paper we report on applying a decision-oriented modeling approach for defining component variability, multiplicity, and hierarchy. We further present a configuration tool that guides end users through the complex decision space. We report applications of the approach to industrial software systems and describe patterns and lessons learned.

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A2 - Schulte, Wolfram

A2 - Ramos, Isidro

A2 - Abrahão, Silvia

A2 - Insfrán, Emilio

PB - Springer

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Rabiser R, Vierhauser M, Grünbacher P, Dhungana D, Schreiner H, Lehofer M. Supporting multiplicity and hierarchy in model-based configuration: Experiences and lessons learned. in Dingel J, Schulte W, Ramos I, Abrahão S, Insfrán E, Hrsg., Model-Driven Engineering Languages and Systems - 17th International Conference, MODELS 2014, Valencia, Spain, September 28 - October 3, 2014. Proceedings. Band 8767. Springer. 2014. S. 320-336. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-11653-2_20

Supporting multiplicity and hierarchy in model-based configuration: Experiences and lessons learned

Abstract

Publikationsreihe

Forschungsfelder

IMC Forschungsschwerpunkte

ÖFOS 2012 - Österreichischen Systematik der Wissenschaftszweige

UN SDGs

Zugriff auf Dokument

Andere Dateien und Links

Fingerprint

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