R
Regina Hebig
Researcher at University of Gothenburg
Publications - 100
Citations - 1013
Regina Hebig is an academic researcher from University of Gothenburg. The author has contributed to research in topics: Software development process & Software. The author has an hindex of 16, co-authored 92 publications receiving 768 citations. Previous affiliations of Regina Hebig include Otto-von-Guericke University Magdeburg & Chalmers University of Technology.
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Proceedings ArticleDOI
The quest for open source projects that use UML: mining GitHub
TL;DR: A semi-automated approach to collect UML stored in images, .xmi, and .uml files and scanned ten percent of all GitHub projects to answer the question when models, if used, are created and updated throughout the whole project's life-span.
Proceedings ArticleDOI
Making control loops explicit when architecting self-adaptive systems
TL;DR: This paper presents a UML profile for control loops that extends UML modeling concepts such that control loops become first class elements of the architecture and supports to design control loops as well as the interplay of multiple control loops at the architectural level.
Journal ArticleDOI
Approaches to Co-Evolution of Metamodels and Models: A Survey
TL;DR: A survey on 31 approaches to support metamodel-model co-evolution is presented, a taxonomy of solution techniques is introduced and the existing approaches are classified to support researchers and practitioners.
Proceedings ArticleDOI
Catching up with method and process practice: an industry-informed baseline for researchers
Jil Klünder,Regina Hebig,Paolo Tell,Marco Kuhrmann,Joyce Nakatumba-Nabende,Rogardt Heldal,Stephan Krusche,Masud Fazal-Baqaie,Michael Felderer,Marcela Genero Bocco,Steffen Küpper,Sherlock A. Licorish,Gustavo López,Fergal McCaffery,Ozden Ozcan Top,Christian R. Prause,Rafael Prikladnicki,Eray Tüzün,Dietmar Pfahl,Kurt Schneider,Stephen G. MacDonell +20 more
TL;DR: Study of the software development process use in practice shows that companies that combine planned improvement programs with process evolution can increase their process' suitability by up to 5%.
Journal ArticleDOI
Where is my feature and what is it about? A case study on recovering feature facets
TL;DR: An exploratory study on identifying features, locations, and facets in two popular, variant-rich, and long-living systems: The 3D-printer firmware Marlin and the Android application Bitcoin-wallet.