FM fact label

FM Fact Label is a tool for visualizing the characterizations of feature models based on their metadata, structural measures, and analytical metrics. Although there are various metrics available to characterize feature models, there is no standard method to visualize and identify unique properties of feature models. Unlike existing tools, FM Fact Label provides a standalone web-based platform for configurable and interactive visualization, enabling export to various formats. This contribution is significant because it supports the Universal Variability Language (UVL) and enhances the UVL ecosystem by offering a common representation of the results of existing analysis tools.

Authors

Institutions

Publication Details

Journal
Science of Computer Programming
Published
2024-09-26
DOI
https://doi.org/10.1016/j.scico.2024.103214
Citations
6
Primary Topic
Software Engineering Research
Type
article
Field-Weighted Citation Impact
4.67

Funders

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article

FM fact label

José-Miguel Horcas, David Benavides, José Á. Galindo, Lidia Fuentes
6 citations
Science of Computer Programming
Software Engineering Research
4.67
article

FM fact label

José-Miguel Horcas, David Benavides, José Á. Galindo, Lidia Fuentes
article en
6 citations

Abstract

FM Fact Label is a tool for visualizing the characterizations of feature models based on their metadata, structural measures, and analytical metrics. Although there are various metrics available to characterize feature models, there is no standard method to visualize and identify unique properties of feature models. Unlike existing tools, FM Fact Label provides a standalone web-based platform for configurable and interactive visualization, enabling export to various formats. This contribution is significant because it supports the Universal Variability Language (UVL) and enhances the UVL ecosystem by offering a common representation of the results of existing analysis tools.

Science of Computer ProgrammingVol. 240
Software for Critical Systems (Spain) (ES), Universidad de Sevilla (ES), Universidad de Málaga (ES)
Centro para el Desarrollo Tecnológico Industrial, Ministerio de Ciencia e Innovación, Horizon 2020 Framework Programme
Openalex Percentile: Top 5%
Software Engineering Research
4.67
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