Mobile App SPLs (USJ 2024/2025)
Description
This dataset contains variability models developed by students of the Universidad San Jorge (Zaragoza, Spain). The models were created as part of the practical assignment for the course "Ensamblado de Aplicaciones mediante Líneas de Producto Software" (Software Product Line Application Assembly) within the Master's Degree in "Tecnologías Software Avanzadas para Dispositivos Móviles" (Advanced Software Technologies for Mobile Devices) during the 2024/2025 academic year.
The models represent the Domain Engineering phase of a Software Product Line (SPL) project. Each model identifies a specific mobile application domain and captures its variability.
Below is the list of students who authored the models in this dataset:
- Julian David Alcala Forero: Gps Port
- Ramon Alberto Peralta Paulino: Music Quizz
- Radeluis Ismael Sánchez De Los Santos: Monumentos Zaragoza
- Johan Alberto De La Cruz Charles: Sda World
- Marcos Antonio Salas Abelló: Fitness App
- Alejandro Berraondo Soria: Fit App
Dataset fact label
What the fact labels of its 6 models say together.
| Models | 6 | |||
|---|---|---|---|---|
| Analysed | 6 | |||
| UVL language | ||||
| Boolean | 6 | |||
| Type | 1 | |||
| Size and structure | Least | Median | Most | Total |
|---|---|---|---|---|
| Features | 14 | 26 | 56 | 172 |
| Leaf features | 8 | 16.5 | 38 | 112 |
| Cross-tree constraints | 0 | 2.5 | 8 | 20 |
| Depth of the tree | 2 | 3 | 5 | |
| Groups | 1 | 6 | 14 | 36 |
| Analysis | |
|---|---|
| Satisfiable | 6 / 6 |
| With dead features | 0 |
| With false optional features | 1 |
| Configurations | 3 … 1.1 × 10⁷ |
| Median | 1,402 |
| Variability | |
| Total variability | 0.0 % |
| Homogeneity | 65.7 % |
