TY - GEN
T1 - Modeling multiplicity and hierarchy in product line architectures: extending a decision-oriented approach
AU - Dhungana, Deepak
AU - Schreiner, Herwig
AU - Lehofer, Martin
AU - Vierhauser, Michael
AU - Rabiser, Rick
AU - Grünbacher, Paul
N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.
PY - 2014/4/7
Y1 - 2014/4/7
N2 - Engineers developing large-scale industrial software systems need to instantiate, configure, and deploy many different types of reusable components. The number of component instances required is typically unknown when defining the systems' architecture and variability but depends on customer requirements only known during configuration. The hierarchy of dynamically created component instances further results in complex dependencies between configuration decisions. To deal with the multiplicity and hierarchy of components product line engineers thus need a modeling approach capable of expressing the dependencies among dynamically instantiated components and related configuration decisions. Decision-oriented variability modeling approaches are highly useful in product line engineering to support product derivation and to guide users through the configuration process. However, current approaches do not sufficiently support multiplicity and hierarchy.In this paper we report on extending an existing decision-oriented approach to support modeling component variability, multiplicity, and hierarchy in product line architectures.
AB - Engineers developing large-scale industrial software systems need to instantiate, configure, and deploy many different types of reusable components. The number of component instances required is typically unknown when defining the systems' architecture and variability but depends on customer requirements only known during configuration. The hierarchy of dynamically created component instances further results in complex dependencies between configuration decisions. To deal with the multiplicity and hierarchy of components product line engineers thus need a modeling approach capable of expressing the dependencies among dynamically instantiated components and related configuration decisions. Decision-oriented variability modeling approaches are highly useful in product line engineering to support product derivation and to guide users through the configuration process. However, current approaches do not sufficiently support multiplicity and hierarchy.In this paper we report on extending an existing decision-oriented approach to support modeling component variability, multiplicity, and hierarchy in product line architectures.
KW - Computer software
KW - Production engineering
KW - Software architecture
KW - Configuration process
KW - Customer requirements
KW - Decision models
KW - Multiplicity and hierarchy
KW - Number of components
KW - Product line architecture
KW - Product line engineering
KW - Software Product Line
KW - Architecture
KW - Software product lines
UR - http://www.scopus.com/inward/record.url?scp=84904554888&partnerID=8YFLogxK
U2 - 10.1145/2578128.2578236
DO - 10.1145/2578128.2578236
M3 - Conference contribution
SN - 9781450325233
T3 - ACM International Conference Proceeding Series
SP - 11:1-11:6
BT - 11th Working IEEE/IFIP Conference on Software Architecture, WICSA 2014 - Proceedings
PB - ACM
ER -
