adding friends and solving issues

community.md

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+---
+layout: default
+title: Community
+nav_order: 3
+has_children: true
+description: "flamapy friends"
+permalink: /community
+---
+
+# flamapy friends and associated projects
+
+As mention in the documentation, the aim of flamapy is to reuse analysis in different circumstances. In this section we present a set of projects and papers that either use flamapy or are linked with its development. 
+
+## flamapy.ide
+Feature modeling is widely used to represent variability in software systems, but as feature models grow in size and complexity, manual analysis becomes infeasible. Automated Analysis of Feature Models (AAFM) is a set of tools and algorithms that enable the computer-aided analysis of such models. Recently, the AAFM community has made an effort to enable the interoperability of tools by means of the UVL language, however, most of the supporting tools need to execute the operations in a server. This have two main drawbacks, first it requires users to upload the model to remote servers, imposing security concerns and second, limits the complexity of the operations that an online tool can offer. flamapy.ide is an integrated development environment (IDE) based on the flamapy framework, and designed to perform AAFM directly within the browser by relying on WASM technologies. flamapy.ide provides SAT and BDD solvers for efficient feature model analysis and offers support for handling UVL files. Also, enables the configuration and visualization of such models relying on a fully client-side approach. This tool brings AAFM capabilities to web-based platforms, eliminating the need for server-side computation while ensuring ease of use and accessibility.
+[TOOL](http://ide.flamapy.org)
+[Paper]()
+
+## UVLHub
+Feature models are the de facto standard for modelling variabilities and commonalities in features and relationships in software product lines. They are the base artefacts in many engineering activities, such as product configuration, derivation, or testing. Concrete models in different domains exist; however, many are in private or sparse repositories or belong to discontinued projects. The dispersion of knowledge of feature models hinders the study and reuse of these artefacts in different studies. The Universal Variability Language (UVL) is a community effort textual feature model language that promotes a common way of serializing feature models independently of concrete tools. Open science principles promote transparency, accessibility, and collaboration in scientific research. Although some attempts exist to promote feature model sharing, the existing solutions lack open science principles by design. In addition, existing and public feature models are described using formats not always supported by current tools. This paper presents  , a repository of feature models in UVL format.  provides a front end that facilitates the search, upload, storage, and management of feature model datasets, improving the capabilities of discontinued proposals. Furthermore, the tool communicates with Zenodo – one of the most well-known open science repositories – providing a permanent save of datasets and following open science principles.  includes existing datasets and is readily available to include new data and functionalities in the future. It is maintained by three active universities in variability modelling.
+
+[TOOL](https://www.uvlhub.io/)
+[Paper](https://doi.org/10.1016/j.jss.2024.112029)
+
+## FactLabel
+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.
+
+[TOOL](https://fmfactlabel.adabyron.uma.es/?v=1.7.0)
+[Paper](https://doi.org/10.1016/j.scico.2024.103214)
+
+## UVL grammar
+Feature modelling is a cornerstone of software product line engineering, providing a means to represent software variability through features and their relationships. Since its inception in 1990, feature modelling has evolved through various extensions, and after three decades of development, there is a growing consensus on the need for a standardised feature modelling language. Despite multiple endeavours to standardise variability modelling and the creation of various textual languages, researchers and practitioners continue to use their own approaches, impeding effective model sharing. In 2018, a collaborative initiative was launched by a group of researchers to develop a novel textual language for representing feature models. This paper introduces the outcome of this effort: the Universal Variability Language (UVL), which is designed to be human-readable and serves as a pivot language for diverse software engineering tools. The development of UVL drew upon community feedback and leveraged established literature in the field of variability modelling. The language is structured into three levels –Boolean, Arithmetic, and Type– and allows for language extensions to introduce additional constructs enhancing its expressiveness. UVL is integrated into various existing software tools, such as FeatureIDE and flamapy, and is maintained by a consortium of institutions. All tools that support the language are released in an open-source format, complemented by dedicated parser implementations for Python and Java. Beyond academia, UVL has found adoption within a range of institutions and companies. It is envisaged that UVL will become the language of choice in the future for a multitude of purposes, including knowledge sharing, educational instruction, and tool integration and interoperability. We envision UVL as a pivotal solution, addressing the limitations of prior attempts and fostering collaboration and innovation in the domain of software product line engineering
+[TOOL](https://universal-variability-language.github.io/)
+[Paper]()