Top datasets with the most feature models

•   Romero-Organvidez, David University of Seville
•   José A. Galindo University of Seville
•   Chico Sundermann University of Ulm
•   Jose-Miguel Horcas University of Malaga
•   David Benavides University of Seville

Dataset of models extracted from SPLOT (http://www.splot-research.org/) and recovered to UVL format. Extraction date: 24 July 2023

splot dataset

•   Chico Sundermann University of Ulm
•   Kevin Feichtinger Johannes Kepler University Linz
•   Dominik Engelhardt TU Braunschweig
•   Rick Rabiser Johannes Kepler University Linz
•   Thomas Thüm University of Ulm

Translated from FeatureIDE.xml, original publication in https://doi.org/10.1145/3106237.3106252

Systems Software

•   Sundermann, Chico Institute of Software Engineering and Programming Languages - Universität ULM
•   DiversoLab University of Seville

Operating Systems (BusyBox)

operating systems busybox feature models

•   José Miguel Horcas Universidad de Málaga
•   Lola Burgueño Universidad de Málaga
•   Jörg Kienzle McGill University, Montreal, Canadá

Evolution of the Xiaomi SPL for the first nine versions of the Mi Band smartwatch (1, 1s, 2, 3, 4, 5, 6, 7, and 8). There are three feature models for each version of Mi Band: FMreduced, FMrealized, and FMplanned. FMreduced is the main feature model delivering only the existing Mi Band products in the market. FMrealized includes the features that have already been implemented, but it does not include the constraints needed for variability reduction, and thus, it exposes all possible products. FMplanned includes those features considered for the near future releases.

Xiaomi Mi Band evolution SPL

•   Sundermann, Chico Institute of Software Engineering and Programming Languages - Universität ULM
•   DiversoLab University of Seville

Financial Services (Financial Services 01)

financial services financial services 01 feature models