Dr.-Ing. David Wille

Institute of Software Engineering and Automotive Informatics
Technische Universität Braunschweig

Curriculum Vitae

Professional Experience

10/2012 - 07/2013	Research Assistant at Institute of Software Engineering and Automotive Informatics
09/2013 - 12/2014	Research Assistant at Institute of Software Engineering and Automotive Informatics
01/2015 - 11/2018	Research Associate at Institute of Software Engineering and Automotive Informatics in the Working Group Model-Based Software Engineering
12/2018 - 04/2019	Postdoctoral Researcher at Institute of Software Engineering and Automotive Informatics in the Working Group Model-Based Software Engineering

Professional Training

10/2009 - 08/2012	Bachelor of Science in Computer Science at Technische Universität Braunschweig
10/2012 - 11/2014	Master of Science in Computer Science at Technische Universität Braunschweig (Graduation with Honors)
01/2015 - 11/2018	PhD in Computer Science at Technische Universität Braunschweig (Graduation with Honors)

Awards

05/2014 Award for particular good accomplishments at Bachelor's level of the Student Counselling of Technische Universität Braunschweig

11/2015 AutoVision Graduate Award for outstanding accomplishments in the Masters Program Computer Science

09/2017 HITACHI Young Best Paper Award - Research Track at the International Systems and Software Product Line Conference (SPLC) 2017 in Seville (Spain) for the paper Variability Mining of Technical Architectures

10/2018 IBM Center for Advanced Studies Best Paper Award at the International Conference on Computer Science and Software Engineering (CASCON) 2018 in Toronto (Canada) for the paper Reducing Variability of Technically Related Software Systems in Large-Scale IT Landscapes

11/2019 Doctorand Award of the Automotive Research Centre Niedersachsen for the Dissertation Custom-Tailored Product Line Extraction

Publications

2019

D. Wille: Custom-Tailored Product Line Extraction, Dissertation, Technische Universität Braunschweig, 2019, Doktorandenpreis des Niedersächsischen Forschungszentrums Fahrzeugtechnik (NFF)
C. Seidl, D. Wille, I. Schaefer: Software Reuse: From Cloned Variants to Managed Software Product Lines, Automotive Systems and Software Engineering: State of the Art and Future Trends, Springer International Publishing, 2019

2018

D. Wille, Ö. Babur, L. Cleophas, C. Seidl, I. Schaefer, M. van den Brand: Improving Custom-Tailored Variability Mining Using Outlier and Cluster Detection, Science of Computer Programming, Elsevier, 2018
K. Wehling, D. Wille, C. Seidl, I. Schaefer: Reducing Variability of Technically Related Software Systems in Large-Scale IT Landscapes, Proc. of the Intl. Conference on Computer Science and Software Engineering (CASCON), Toronto, Kanada, IBM Corporation, 2018, IBM Center for Advanced Studies Best Paper Award

2017

K. Wehling, D. Wille, C. Seidl, I. Schaefer: Automated Recommendations for Reducing Unnecessary Variability of Technology Architectures, Proc. of the Intl. Workshop on Feature-Oriented Software Development (FOSD), Vancouver, Kanada, ACM, 2017
D. Wille, K. Wehling, C. Seidl, M. Pluchator, I. Schaefer: Variability Mining of Technical Architectures, Proc. of the Intl. Systems and Software Product Line Conference (SPLC), Sevilla, Spanien, ACM, 2017, HITACHI Young Best Paper Award - Research Track
A. Schlie, D. Wille, S. Schulze, L. Cleophas, I. Schaefer: Detecting Variability in MATLAB/Simulink Models: An Industry-Inspired Technique and Its Evaluation, Proc. of the Intl. Systems and Software Product Line Conference (SPLC), Sevilla, Spanien, ACM, 2017
K. Wehling, D. Wille, C. Seidl, I. Schaefer: Decision Support for Reducing Unnecessary IT Complexity of Application Architectures, Proc. of the Intl. Workshop on decision Making in Software ARCHitecture (MARCH), Göteborg, Schweden, IEEE, 2017
A. Schlie, D. Wille, L. Cleophas, I. Schaefer: Clustering Variation Points in MATLAB/Simulink Models Using Reverse Signal Propagation Analysis, Proc. of the Intl. Conference on Software Reuse (ICSR), Salvador, Brasilien, Springer, 2017
D. Wille, T. Runge, C. Seidl, S. Schulze: Extractive Software Product Line Engineering Using Model-Based Delta Module Generation, Proc. of the Intl. Workshop on Variability Modeling in Software-intensive Systems (VaMoS), Eindhoven, Niederlande, ACM, 2017

2016

D. Wille, S. Schulze, I. Schaefer: Variability Mining of State Charts, Proc. of the Intl. Workshop on Feature-Oriented Software Development (FOSD), Amsterdam, Niederlande, ACM, 2016
D. Wille, M. Tiede, S. Schulze, C. Seidl, I. Schaefer: Identifying Variability in Object-Oriented Code Using Model-Based Code Mining, Proc. of the Intl. Symposium on Leveraging Applications of Formal Methods, Verification and Validation (ISoLA), Korfu, Griechenland, Springer, 2016
D. Wille, S. Schulze, C. Seidl, I. Schaefer: Custom-Tailored Variability Mining for Block-Based Languages, Proc. of the Intl. Conference on Software Analysis, Evolution, and Reengineering (SANER), Osaka, Japan, IEEE, 2016
K. Wehling, D. Wille, M. Pluchator, I. Schaefer: Towards Reducing the Complexity of Enterprise Architectures by Identifying Standard Variants Using Variability Mining, 1. Automobil Symposium Wildau: Tagungsband, Wildau, Deutschland, 2016

2014

S. Holthusen, D. Wille, C. Legat, S. Beddig, I. Schaefer, B. Vogel-Heuser: Family Model Mining for Function Block Diagrams in Automation Software, Proc. of the Intl. Workshop on Reverse Variability Engineering (REVE), Florenz, Italien, ACM, 2014
D. Wille: Managing Lots of Models: The FaMine Approach, Proc. of the Intl. Symposium on Foundations of Software Engineering (FSE), Hong Kong, ACM, 2014

2013

D. Wille, S. Holthusen, S. Schulze, I. Schaefer: Interface Variability in Family Model Mining, Proc. of the Intl. Workshop on Model-Driven Approaches in Software Product Line Engineering (MAPLE), Tokio, Japan, ACM, 2013
S. Holthusen, P. Manhart, I. Schaefer, S. Schulze, C. Singer, D. Wille: Automatische Synthese von Familienmodellen durch Analyse von block-basierten Funktionsmodellen, GI-Jahrestagung, Koblenz, Deutschland, GI, 2013