Work

FM fact label

Year: 2024

Type: article

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.

Source: Science of Computer Programming

DOI: 10.1016/j.scico.2024.103214

Authors: Jose-Miguel Horcas, Jose A. Galindo, Lidia Fuentes, David Benavides

Institutions: Universidad de Málaga, Universidad de Sevilla

Language: English

Topic: Advanced Software Engineering Methodologies

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $2,460

Funders: Centro para el Desarrollo Tecnológico Industrial, Ministerio de Ciencia e Innovación, Horizon 2020 Framework Programme, Consejería de Agricultura, Pesca, Agua y Desarollo Rural, Junta de Andalucía