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Inferring variability from customized standard software products

Nöbauer, Markus; Seyff, Norbert; Groher, Iris (2014). Inferring variability from customized standard software products. In: 18th International Software Product Line Conference, Florence, Italy, 15 September 2014 - 19 September 2014. ACM Press, 284-293.

Abstract

Systematic variability management is an important prerequisite for successful software reuse. However, it requires significant effort and extensive domain knowledge to document and maintain information on variability. In this paper we present a tool-supported approach which supports semi-automatically inferring variability information from customized standard software products. The approach does not only enable the identification and documentation of variability information based on existing products, it is also capable of incrementally updating this information. To guarantee quick access to reusable code artifacts (e.g. requirements, features or software components), the presented solution stores these artifacts together with related requirements and a generated variability model in an asset repository. The tool- supported approach has been applied to customizations of Microsoft Dynamics AX ERP systems. Our experiences highlight the potential and benefits of our approach compared to manually gathering information on software variability.

Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scopus Subject Areas:Physical Sciences > Software
Physical Sciences > Human-Computer Interaction
Physical Sciences > Computer Vision and Pattern Recognition
Physical Sciences > Computer Networks and Communications
Scope:Discipline-based scholarship (basic research)
Language:English
Event End Date:19 September 2014
Deposited On:27 Oct 2014 16:46
Last Modified:06 Mar 2024 14:19
Publisher:ACM Press
ISBN:9781450327404
OA Status:Green
Publisher DOI:https://doi.org/10.1145/2648511.2648544
Other Identification Number:merlin-id:10496
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