DocumentCode :
3539859
Title :
Hybrid ANP: Quality attributes decision modeling of a product line architecture design
Author :
Murwantara, I. Made
Author_Institution :
Inf. Dept., Univ. Pelita Harapan, Tangerang, Indonesia
fYear :
2012
fDate :
14-15 Aug. 2012
Firstpage :
30
Lastpage :
34
Abstract :
Architecture design of a software product line includes a lot of decision of how the variability component will be implemented. The decision corresponds to the requirements of the architecture specifications. Furthermore, most of the decision may have dependency between components. However, only some research devoted to address the quality attributes. In this paper, we propose a new approach that hybrid the Analytical Network Process to model the decision, which addressed the quality attributes. In our method, first, the software component derives from the feature model by the domain expert. Then, groups the components to specific quality attributes. Subsequently, models the dependency of quality attributes in the ANP model. We use a eLearning Product Line Architecture to demonstrate the feasibility of our approach.
Keywords :
computer aided instruction; decision making; feature extraction; object-oriented methods; software architecture; software quality; analytical network process; decision model; e-learning product line architecture; hybrid ANP model; quality attributes; quality attributes decision modeling; software component; software product line architecture design; Computer architecture; Decision making; Electronic learning; Reliability; Security; Software; Software architecture; Analytic Network Process; Architecture Design; Decision Model; Software Product Line;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Uncertainty Reasoning and Knowledge Engineering (URKE), 2012 2nd International Conference on
Conference_Location :
Jalarta
Print_ISBN :
978-1-4673-1459-6
Type :
conf
DOI :
10.1109/URKE.2012.6319572
Filename :
6319572
Link To Document :
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