Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-55795
Dhungana, Deepak; Seyff, Norbert; Graf, Florian (2011). Research preview: Supporting end-user requirements elicitation using product line variability models. In: REFSQ 2011: 17th International Working Conference on Requirements Engineering: Foundation for Software Quality, Essen, 28 March 2011 - 30 March 2011, 66-71.
[Context and motivation] Product line variability models have been primarily used for product configuration purposes. We suggest that such models contain information that is relevant for early software engineering activities too. [Question/Problem] So far, the knowledge contained in variability models has not been used to improve requirements elicitation activities. State-of-the-art requirements elicitation approaches furthermore do not focus on the cost-effective identification of individual end-user needs, which, for example, is highly relevant for the customization of service-oriented systems. [Principal idea/results] The planned research will investigate how end-users can be empowered to document their individual needs themselves. We propose a tentative solution which facilitates end-users requirements elicitation by providing contextual information codified in software product line variability models. [Contribution] We present the idea of a “smart” tool for end-users allowing them to specify their needs and to customize, for example, a service-oriented system based on contextual information in variability models.
|Item Type:||Conference or Workshop Item (Paper), refereed, original work|
|Communities & Collections:||03 Faculty of Economics > Department of Informatics|
|DDC:||000 Computer science, knowledge & systems|
|Event End Date:||30 March 2011|
|Deposited On:||10 Feb 2012 11:47|
|Last Modified:||23 Nov 2012 13:09|
|Series Name:||Lecture Notes in Computer Science|
|ISSN:||0302-9743 (P) 1611-3349 (E)|
|Additional Information:||The original publication is available at www.springerlink.com|
|Other Identification Number:||merlin-id:3816|
Scopus®. Citation Count: 1
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