Inferring Variability from Customized Standard Software Products

Markus Nöbauer, Norbert Seyff, Iris Groher

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

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.
Original languageEnglish
Title of host publication18th International Software Product Line Conference (SPLC 2014), Florence, Italiy, September 15-19, 2014
EditorsStefania Gnesi, Alessandro Fantechi, Patrick Heymans, Julia Rubin, Krzysztof Czarnecki, Deepak Dhungana
PublisherACM
Pages284-293
Number of pages9
Volume1
ISBN (Electronic)9781450327404
ISBN (Print)978-1-4503-2740-4
DOIs
Publication statusPublished - Sept 2014

Fields of science

  • 202005 Computer architecture
  • 202017 Embedded systems
  • 102 Computer Sciences
  • 102002 Augmented reality
  • 102006 Computer supported cooperative work (CSCW)
  • 102015 Information systems
  • 102020 Medical informatics
  • 102022 Software development
  • 102027 Web engineering
  • 201305 Traffic engineering
  • 202022 Information technology
  • 207409 Navigation systems
  • 502032 Quality management
  • 502050 Business informatics

JKU Focus areas

  • Computation in Informatics and Mathematics
  • Management and Innovation

Cite this