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/KonferenzbandKonferenzbeitragBegutachtung


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.

TitelModel-Driven Engineering Languages and Systems - 17th International Conference, MODELS 2014, Valencia, Spain, September 28 - October 3, 2014. Proceedings
Redakteure/-innenJürgen Dingel, Wolfram Schulte, Isidro Ramos, Silvia Abrahão, Emilio Insfrán
Herausgeber (Verlag)Springer
PublikationsstatusVeröffentlicht - 4 Okt. 2014
Extern publiziertJa


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


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