Abstract is missing.
- Preserving Non-Functional Requirements in Goal Models Using Meta-models of the Software Product LinesGullelala Jadoon. 1-5 [doi]
- Design of a Meta-Factory for Product Lines Model-Driven SoftwareVidjinnangni Alphonse Ignace Azonhoumon. 6-10 [doi]
- Characterizing Resource Interaction Failures in Mobile ApplicationsEuler Marinho. 11-16 [doi]
- Advancing Legacy Software Modernization through Software Product Line Engineering: A Case Study in Digital LibrariesDelfina Ramos-Vidal. 17-21 [doi]
- Identification of Variability Implementations in TypeScript: the 2Cities VisualizationYann Brault, Philippe Collet, Anne-Marie Pinna-Dery. 22-25 [doi]
- Exploring the Use of Software Product Lines for the Combination of Machine Learning ModelsMarcos Gomez-Vazquez, Jordi Cabot. 26-29 [doi]
- RIFDiscoverer: A Tool for Finding Resource Interaction FailuresEuler Marinho, Izaias Machado Pessoa Neto, Fischer Ferreira, João P. Diniz, Eduardo Figueiredo 0001. 30-33 [doi]
- Development of a PLE Factory Environment with GitLab Integration and following ISO/IEC 26580Alejandro Buján, Alejandro Cortiñas 0001, Miguel Rodríguez Luaces. 34-37 [doi]
- Phylogenix: Bringing phylogenetics to UnitySamuel Navarro, Antonio Iglesias, Francisca Pérez 0001, Carlos Cetina, Jaime Font 0001. 38-41 [doi]
- An IDE Plugin for Clone ManagementAhmad Al Shihabi, Jan Sollmann, Johan Martinson, Wardah Mahmood, Thorsten Berger. 42-45 [doi]
- Industry Adoption of UVL: What We Will NeedRick Rabiser. 46-49 [doi]
- Towards a Product Configuration Representation for the Universal Variability LanguageHafiyyan Sayyid Fadhlillah, Rick Rabiser. 50-54 [doi]
- Kconfig metamodel: a first approachDavid Romero-Organvidez, Pablo Neira Ayuso, José A. Galindo, David Benavides 0001. 55-60 [doi]
- Generating Feature Models with UVL's Full ExpressivenessChico Sundermann, Tobias Heß, Rahel Sundermann, Elias Kuiter, Sebastian Krieter, Thomas Thüm. 61-65 [doi]
- Can Conditional Preferences and *CP-net Concepts Enhance Feature Models?Jacques Malenfant, Tewfik Ziadi. 66-74 [doi]
- Towards a Flexible Approach for Variability MiningAlexander Stummer, Anna-Lena Hager, Rick Rabiser. 75-81 [doi]
- Out-of-the-Box Prediction of Non-Functional Variant Properties Using Automated Machine LearningLukas Güthing, Tobias Pett, Ina Schaefer. 82-87 [doi]
- Multi-Version Decision Propagation for Configuring Feature Models in Space and TimeTobias Heß, Simon Karrer, Lukas Ostheimer. 88-92 [doi]