A holistic approach to feature modeling for product line requirements engineering

Lee, Jaejoon and Kang, Kyo C. and Sawyer, Peter and Lee, Hyesun (2014) A holistic approach to feature modeling for product line requirements engineering. Requirements Engineering, 19 (4). pp. 377-395. ISSN 0947-3602

Full text not available from this repository.

Abstract

Requirements engineering (RE) offers the means to discover, model, and manage the requirements of the products that comprise a product line, while software product line engineering (SPLE) offers the means of realizing the products’ requirements from a common base of software assets. In practice, however, RE and SPLE have proven to be less complementary than they should. While some RE techniques, particularly goal modeling, support the exploration of alternative solutions, the appropriate solution is typically conditional on context and a large product line may have many product-defining contexts. Thus, scalability and traceability through into product line features are key challenges for RE. Feature modeling, by contrast, has been widely accepted as a way of modeling commonality and variability of products of a product line that may be very complex. In this paper, we propose a goal-driven feature modeling approach that separates a feature space in terms of problem space and solution space features, and establish explicit mappings between them. This approach contributes to reducing the inherent complexity of a mixed-view feature model, deriving key engineering drivers for developing core assets of a product line, and facilitating the quality-based product configuration.

Item Type:
Journal Article
Journal or Publication Title:
Requirements Engineering
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1712
Subjects:
?? feature modeling product line requirements engineering goal modeling feature space feature modeling viewpointssoftwareinformation systems ??
ID Code:
66713
Deposited By:
Deposited On:
23 Sep 2013 14:58
Refereed?:
Yes
Published?:
Published
Last Modified:
15 Jul 2024 14:14