Feature models are the “de facto” standard for variability modelling
and are used in both academia and industry. The MODEVAR initia tive tries to establish a common textual feature modelling language
that can be used by different communities and can allow informa tion sharing. Feature model related researches use different models
for different purposes such as analysis, sampling, testing, debug ging, teaching, etc. Those models are shared in private repositories
and there is a risk that all that knowledge is spread across different
platforms which hinder collaboration and knowledge reuse. In this
paper, we propose a first working version of a new feature model
repository that allows to centralise the knowledge generated in
the community together with advanced capabilities such as DOI
generation, an API, analysis reports, among others. Our solution
is a front end interface that uses the popular open science repos itory Zenodo as an end point to materialise the storage of all the
information. Zenodo is enhanced with characteristics that facilitate
the management of the models. The idea of our repository is to
provide existing but also new features that are not present in other
repositories (e.g., SPLOT). We propose to populate our repository
with all the existing models of many sources including SPLOT.Ministerio de Ciencia, Innovación y Universidades RTI2018-101204-B-C22 (OPHELIA)Agencia Estatal de Investigación TIN2017-90644-RED
