A Conversion of Feature Models into an Executable Representation in Microsoft Excel

Viet-Man Le*, Trang Tran, Alexander Felfernig

*Korrespondierende/r Autor/in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem Konferenzband

Abstract

Feature model-based configuration involves selecting desired features from a collection of features (called a feature model) that satisfy pre-defined constraints. Configurator development can be performed by different stakeholders with distinct skills and interests, who could also be non-IT domain experts with limited technical understanding and programming experience. In this context, a simple configuration framework is required to facilitate non-IT stakeholders’ participation in configurator development processes. In this paper, we develop a so-called tool Fm2ExConf that enables stakeholders to represent configuration knowledge as an executable representation in Microsoft Excel. Our tool supports the conversion of a feature model into an Excel-based configurator, which is performed in two steps. In the first step, the tool checks the consistency and anomalies of a feature model. If the feature model is consistent, then it is converted into a corresponding Excel-based configurator. Otherwise, the tool provides corrective explanations that help stakeholders to resolve anomalies before performing the conversion. Besides, in the second step, another type of explanation (which is included in the Excel-based configurator) is provided to help non-IT stakeholders to fix inconsistencies in the configuration phase.
Originalspracheenglisch
TitelIntelligent Systems in Industrial Applications
UntertitelInternational Symposium on Methodologies for Intelligent Systems (ISMIS 2020)
Redakteure/-innenMartin Stettinger, Gerhard Leitner, Alexander Felfernig, Zbigniew W. Ras
Herausgeber (Verlag)Springer, Cham
Seiten153-168
Seitenumfang16
ISBN (elektronisch)978-3-030-67148-8
ISBN (Print)978-3-030-67147-1
DOIs
PublikationsstatusVeröffentlicht - 4 Feb 2021
Veranstaltung25th International Symposium on Methodologies for Intelligent Systems - TU Graz, Virtuell, Österreich
Dauer: 23 Sep 202025 Sep 2020

Publikationsreihe

NameStudies in Computational Intelligence
Band949
ISSN (Print)1860-949X
ISSN (elektronisch)1860-9503

Konferenz

Konferenz25th International Symposium on Methodologies for Intelligent Systems
KurztitelISMIS 2020
LandÖsterreich
OrtVirtuell
Zeitraum23/09/2025/09/20

ASJC Scopus subject areas

  • Artificial intelligence

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