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ORCIDDavid Wille
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2010 – 2019
- 2019
[b1]David Wille:
Custom-Tailored Product Line Extraction. Braunschweig University of Technology, Germany, 2019- [p1]Christoph Seidl, David Wille, Ina Schaefer:
Software Reuse: From Cloned Variants to Managed Software Product Lines. Automotive Systems and Software Engineering 2019: 77-108 - 2018
- [j1]David Wille, Önder Babur
, Loek Cleophas, Christoph Seidl, Mark van den Brand, Ina Schaefer:
Improving custom-tailored variability mining using outlier and cluster detection. Sci. Comput. Program. 163: 62-84 (2018) - [c14]Kenny Wehling, David Wille, Christoph Seidl, Ina Schaefer:
Reducing variability of technically related software systems in large-scale IT landscapes. CASCON 2018: 224-235 - 2017
- [c13]Kenny Wehling, David Wille, Christoph Seidl, Ina Schaefer:
Decision Support for Reducing Unnecessary IT Complexity of Application Architectures. ICSA Workshops 2017: 161-168 - [c12]Alexander Schlie, David Wille, Loek Cleophas, Ina Schaefer:
Clustering Variation Points in MATLAB/Simulink Models Using Reverse Signal Propagation Analysis. ICSR 2017: 77-94 - [c11]Kenny Wehling, David Wille, Christoph Seidl, Ina Schaefer:
Automated recommendations for reducing unnecessary variability of technology architectures. FOSD 2017: 1-10 - [c10]David Wille, Kenny Wehling, Christoph Seidl, Martin Pluchator, Ina Schaefer:
Variability Mining of Technical Architectures. SPLC (A) 2017: 39-48 - [c9]Alexander Schlie, David Wille, Sandro Schulze, Loek Cleophas, Ina Schaefer:
Detecting Variability in MATLAB/Simulink Models: An Industry-Inspired Technique and its Evaluation. SPLC (A) 2017: 215-224 - [c8]David Wille, Tobias Runge, Christoph Seidl, Sandro Schulze:
Extractive software product line engineering using model-based delta module generation. VaMoS 2017: 36-43 - 2016
- [c7]David Wille, Michael Tiede, Sandro Schulze, Christoph Seidl, Ina Schaefer:
Identifying Variability in Object-Oriented Code Using Model-Based Code Mining. ISoLA (2) 2016: 547-562 - [c6]David Wille, Sandro Schulze, Ina Schaefer:
Variability mining of state charts. FOSD 2016: 63-73 - [c5]David Wille, Sandro Schulze, Christoph Seidl, Ina Schaefer:
Custom-Tailored Variability Mining for Block-Based Languages. SANER 2016: 271-282 - 2014
- [c4]David Wille:
Managing lots of models: the FaMine approach. SIGSOFT FSE 2014: 817-819 - [c3]Sönke Holthusen, David Wille, Christoph Legat, Simon Beddig, Ina Schaefer, Birgit Vogel-Heuser:
Family model mining for function block diagrams in automation software. SPLC Workshops 2014: 36-43 - 2013
- [c2]Sönke Holthusen, Peter Manhart, Ina Schaefer, Sandro Schulze, Christian Singer, David Wille:
Automatische Synthese von Familienmodellen durch Analyse von block-basierten Funktionsmodellen. GI-Jahrestagung 2013: 2443-2457 - [c1]David Wille, Sönke Holthusen, Sandro Schulze, Ina Schaefer:
Interface variability in family model mining. SPLC Workshops 2013: 44-51
Coauthor Index
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