| Family model mining for function block diagrams in automation software S Holthusen, D Wille, C Legat, S Beddig, I Schaefer, B Vogel-Heuser Proceedings of the 18th International Software Product Line Conference …, 2014 | 54 | 2014 |
| Interface variability in family model mining D Wille, S Holthusen, S Schulze, I Schaefer Proceedings of the 17th International Software Product Line Conference co …, 2013 | 51 | 2013 |
| Extractive software product line engineering using model-based delta module generation D Wille, T Runge, C Seidl, S Schulze Proceedings of the 11th International Workshop on Variability Modelling of …, 2017 | 34 | 2017 |
| Custom-tailored variability mining for block-based languages D Wille, S Schulze, C Seidl, I Schaefer 2016 IEEE 23rd International Conference on Software Analysis, Evolution, and …, 2016 | 28 | 2016 |
| Detecting variability in MATLAB/Simulink models: An industry-inspired technique and its evaluation A Schlie, D Wille, S Schulze, L Cleophas, I Schaefer Proceedings of the 21st International Systems and Software Product Line …, 2017 | 27 | 2017 |
| Managing lots of models: the famine approach D Wille Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations …, 2014 | 24 | 2014 |
| Variability mining of technical architectures D Wille, K Wehling, C Seidl, M Pluchator, I Schaefer Proceedings of the 21st International Systems and Software Product Line …, 2017 | 21 | 2017 |
| Improving custom-tailored variability mining using outlier and cluster detection D Wille, Ö Babur, L Cleophas, C Seidl, M van den Brand, I Schaefer Science of Computer Programming 163, 62-84, 2018 | 18 | 2018 |
| Clustering variation points in matlab/simulink models using reverse signal propagation analysis A Schlie, D Wille, L Cleophas, I Schaefer Mastering Scale and Complexity in Software Reuse: 16th International …, 2017 | 14 | 2017 |
| Variability mining of state charts D Wille, S Schulze, I Schaefer Proceedings of the 7th International Workshop on Feature-Oriented Software …, 2016 | 14 | 2016 |
| Decision support for reducing unnecessary IT complexity of application architectures K Wehling, D Wille, C Seidl, I Schaefer 2017 IEEE International Conference on Software Architecture Workshops (ICSAW …, 2017 | 13 | 2017 |
| Software reuse: from cloned variants to managed software product lines C Seidl, D Wille, I Schaefer Automotive Systems and Software Engineering: State of the Art and Future …, 2019 | 12 | 2019 |
| Identifying variability in object-oriented code using model-based code mining D Wille, M Tiede, S Schulze, C Seidl, I Schaefer International Symposium on Leveraging Applications of Formal Methods, 547-562, 2016 | 10 | 2016 |
| Custom-Tailored Product Line Extraction D Wille Technische Universität Carolo-Wilhelmina zu Braunschweig, 2019 | 6 | 2019 |
| Automated recommendations for reducing unnecessary variability of technology architectures K Wehling, D Wille, C Seidl, I Schaefer Proceedings of the 8th ACM SIGPLAN International Workshop on Feature …, 2017 | 5 | 2017 |
| Towards Reducing the Complexity of Enterprise Architectures by Identifying Standard Variants Using Variability Mining K Wehling, D Wille, M Pluchator, I Schaefer 1. Automobil Symposium Wildau: Tagungsband, 37-43, 2016 | 5 | 2016 |
| Automatische Synthese von Familienmodellen durch Analyse von block-basierten Funktionsmodellen S Holthusen, P Manhart, I Schaefer, S Schulze, C Singer, D Wille INFORMATIK 2013–Informatik angepasst an Mensch, Organisation und Umwelt …, 2013 | 3 | 2013 |
| Reducing variability of technically related software systems in large-scale IT landscapes K Wehling, D Wille, C Seidl, I Schaefer Proceedings of the 28th Annual International Conference on Computer Science …, 2018 | 2 | 2018 |
| Family Mining of State Charts D Wille | | 2014 |
| Variability Mining for Extractive Software Product Line Engineering of Block-Based Modeling Languages D Wille BSR winter school Big Software on the Run: Where Software meets Data, 66, 0 | | |
Ina SchaeferKarlsruhe Institute of Technology (KIT)Dirección de correo verificada de kit.edu