| The quest for open source projects that use UML: mining GitHub R Hebig, TH Quang, MRV Chaudron, G Robles, MA Fernandez Proceedings of the ACM/IEEE 19th international conference on model driven …, 2016 | 149 | 2016 |
| Approaches to co-evolution of metamodels and models: A survey R Hebig, DE Khelladi, R Bendraou IEEE Transactions on Software Engineering 43 (5), 396-414, 2016 | 108 | 2016 |
| What makes agile software development agile? M Kuhrmann, P Tell, R Hebig, J Klünder, J Münch, O Linssen, D Pfahl, ... IEEE transactions on software engineering 48 (9), 3523-3539, 2021 | 85 | 2021 |
| An extensive dataset of UML models in GitHub G Robles, T Ho-Quang, R Hebig, MRV Chaudron, MA Fernandez 2017 IEEE/ACM 14th International Conference on Mining Software Repositories …, 2017 | 85 | 2017 |
| Where is my feature and what is it about? a case study on recovering feature facets J Krüger, M Mukelabai, W Gu, H Shen, R Hebig, T Berger Journal of Systems and Software 152, 239-253, 2019 | 82 | 2019 |
| Making control loops explicit when architecting self-adaptive systems R Hebig, H Giese, B Becker Proceedings of the second international workshop on Self-organizing …, 2010 | 81 | 2010 |
| Catching up with method and process practice: An industry-informed baseline for researchers J Klünder, R Hebig, P Tell, M Kuhrmann, J Nakatumba-Nabende, ... 2019 IEEE/ACM 41st International Conference on Software Engineering …, 2019 | 69 | 2019 |
| Towards a better understanding of software features and their characteristics: A case study of marlin J Krüger, W Gu, H Shen, M Mukelabai, R Hebig, T Berger Proceedings of the 12th international workshop on variability modelling of …, 2018 | 65 | 2018 |
| On the unification of megamodels R Hebig, A Seibel, H Giese Electronic Communications of the EASST 42, 2012 | 56 | 2012 |
| Blended modeling in commercial and open-source model-driven software engineering tools: A systematic study I David, M Latifaj, J Pietron, W Zhang, F Ciccozzi, I Malavolta, A Raschke, ... Software and Systems Modeling 22 (1), 415-447, 2023 | 51 | 2023 |
| Software engineering whispers: The effect of textual vs. graphical software design descriptions on software design communication R Jolak, M Savary-Leblanc, M Dalibor, A Wortmann, R Hebig, J Vincur, ... Empirical software engineering 25, 4427-4471, 2020 | 48 | 2020 |
| Chapter 8 Recognizing Lines of Code Violating Company-Specific Coding Guidelines Using Machine Learning M Ochodek, R Hebig, W Meding, G Frost, M Staron Accelerating Digital Transformation: 10 Years of Software Center, 211-251, 2022 | 44 | 2022 |
| Practices and perceptions of UML use in open source projects T Ho-Quang, R Hebig, G Robles, MRV Chaudron, MA Fernandez 2017 IEEE/ACM 39th International Conference on Software Engineering …, 2017 | 44 | 2017 |
| Using machine learning to design a flexible loc counter M Ochodek, M Staron, D Bargowski, W Meding, R Hebig 2017 IEEE Workshop on Machine Learning Techniques for Software Quality …, 2017 | 41 | 2017 |
| Detecting complex changes during metamodel evolution DE Khelladi, R Hebig, R Bendraou, J Robin, MP Gervais Advanced Information Systems Engineering: 27th International Conference …, 2015 | 39 | 2015 |
| Detecting complex changes and refactorings during (meta) model evolution DE Khelladi, R Hebig, R Bendraou, J Robin, MP Gervais Information Systems 62, 220-241, 2016 | 37 | 2016 |
| On lightweight metamodel extension to support modeling tools agility H Bruneliere, J Garcia, P Desfray, DE Khelladi, R Hebig, R Bendraou, ... Modelling Foundations and Applications: 11th European Conference, ECMFA 2015 …, 2015 | 36 | 2015 |
| A semi-automatic maintenance and co-evolution of OCL constraints with (meta) model evolution DE Khelladi, R Bendraou, R Hebig, MP Gervais Journal of Systems and Software 134, 242-260, 2017 | 35 | 2017 |
| Model transformation languages under a magnifying glass: a controlled experiment with Xtend, ATL, and QVT R Hebig, C Seidl, T Berger, JK Pedersen, A Wąsowski Proceedings of the 2018 26th ACM Joint Meeting on European Software …, 2018 | 34 | 2018 |
| Emerging and changing tasks in the development process for machine learning systems H Liu, S Eksmo, J Risberg, R Hebig Proceedings of the international conference on software and system processes …, 2020 | 31 | 2020 |
Michel R. V. ChaudronProfessor Eindhoven University of Technology (TUE)Verified email at tue.nl
