Table-based knowledge representations for industrial feature models.

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

Abstract

Configuration knowledge engineering in industrial settings often has to face the challenge that product domain experts do not have background knowledge in formal configuration knowledge representations. In this context, graphical configuration models such as feature models provide a basis for the communication between domain experts and knowledge engineers. However, in many cases domain experts are used to define configuration knowledge in table-based representations. In this paper, we discuss ways of how to represent basic configuration constraint types in the form of a table-based representation thus allowing an alternative definition and exchange of product configuration knowledge.
Original languageEnglish
Title of host publication26th ACM International Systems and Software Product Line Conference, SPLC 2022 - Proceedings
EditorsAlexander Felfernig, Lidia Fuentes, Jane Cleland-Huang, Wesley K.G. Assuncao, Wesley K.G. Assuncao, Clement Quinton, Jianmei Guo, Klaus Schmid, Marianne Huchard, Inmaculada Ayala, Jose Miguel Rojas, Viet-Man Le, Jose Miguel Horcas
Pages245-248
Number of pages4
VolumeB
ISBN (Electronic)9781450392068
DOIs
Publication statusPublished - 12 Sept 2022
Event26th ACM International Systems and Software Product Line Conference: ASPLC 2022 - Graz, Austria
Duration: 12 Sept 202216 Sept 2022
http://2022.splc.net/

Conference

Conference26th ACM International Systems and Software Product Line Conference
Abbreviated titleSPLC'22
Country/TerritoryAustria
CityGraz
Period12/09/2216/09/22
Internet address

Keywords

  • feature models
  • knowledge-based configuration
  • table-based knowledge representations

ASJC Scopus subject areas

  • Software

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