Melanie Windrich

dblp:170/1283 · DBLP profile ↗
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4ranked-venue papers
0as first author
3since 2021 · last 2025
0000-0003-3285-4708ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 3 · 3 since 2021Artificial intelligence and machine learning · 1Databases, data management, data science and information retrieval · 1
YearPublicationVenuePosition
2025 Generating Formal Process Models and Decisions from Examination Rules in Natural Text with ChatGPT
Andreas Speck, Melanie Windrich, Jan Hesse, Melina Sentz, David Kuhlen, Thomas Stuht, Elke Pulvermüller
ENASE2
2022 Business Process Modeling in a Virtual 3D World
abstract
The (improved) digitalization of economy and administration is a common major endeavor. In general digitalization looks quite simpe: the currently semi-automated business processes are to be formalized and based of these formal business process models highly automated systems are to be developed. One challenge is to formalize the informal knowledge of the stakeholders driving the processes. To optimize and document business processes, it is important that different stakeholders can form a common understanding of them. This understanding is formally expressed in modeling languages like BPMN (Business Process Model and Notation). However, misunderstandings and errors occur time and time again. This paper presents a novel approach, based on a three-dimensional representation of the process, which on the one hand maintains the clarity of the overall process, but also allows an improved representation of details. The stakeholders may play their roles in the processes with avatars, and these roles may be recorded as the base of a formal process model.
Aljoscha Jagenow, Andreas Speck, Melanie Windrich, Emre Öksüz, Elke Pulvermüller
SoMeT3
2021 Decision Model and Notation for Describing Variability in Business Process Product Lines
Andreas Speck, Aljoscha Jagenow, Melanie Windrich
ENASE3
2015 Linked Open Data Visualization with State Hopper: Learning about Europe and its Countries
abstract
We present State Hopper, an interactive multimedia application that uses Linked Open Data to generate a map-based educational game. A prototype of the system using Europe as map was implemented in a student project. Goal of the game is to move from country to country by learning facts about the countries like population, GDP, size, and others. Each movement from one country to another country on the map generates new insights and allows the player to capture new knowledge about the countries.
Alexander Prange, Melanie Windrich, Daniel Grevismühl, Falk Böschen, Ansgar Scherp
K-CAP2