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Modeling variability in product lines using domain quality attribute scenarios
Author(s) -
Nadeem Abbas,
Jesper Andersson,
Danny Weyns
Publication year - 2012
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/2361999.2362028
Subject(s) - software product line , computer science , robustness (evolution) , domain engineering , software , quality (philosophy) , product (mathematics) , domain (mathematical analysis) , domain analysis , software quality , product line , data mining , domain model , software engineering , software system , software development , domain knowledge , engineering , component based software engineering , mathematics , software construction , manufacturing engineering , programming language , philosophy , chemistry , biochemistry , mathematical analysis , geometry , epistemology , gene
The concept of variability is fundamental in software product lines and a successful implementation of a product line largely depends on how well domain requirements and their variability are specified, managed, and realized. While developing an educational software product line, we identified a lack of support to specify variability in quality concerns. To address this problem we propose an approach to model variability in quality concerns, which is an extension of quality attribute scenarios. In particular, we propose domain quality attribute scenarios, which extend standard quality attribute scenarios with additional information to support specification of variability and deriving product specific scenarios. We demonstrate the approach with scenarios for robustness and upgradability requirements in the educational software product line.

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