Glaser, P.-L., Hammerschmied, G., Hnatiuk, V., & Bork, D. (2022). The bigER Modeling Tool. In ER-Forum-PhD 2022. ER Forum and PhD Symposium 2022. Proceedings of the ER Forum and PhD Symposium 2022. 41st International Conference on Conceptual Modeling (ER 2022), Hyderabad, India. CEUR-WS.org. https://doi.org/10.34726/4102
ER-Forum-PhD 2022. ER Forum and PhD Symposium 2022. Proceedings of the ER Forum and PhD Symposium 2022
41st International Conference on Conceptual Modeling (ER 2022)
17-Oct-2022 - 20-Oct-2022
Number of Pages:
Code generation; Entity Relationship; Language Server Protocol; Modeling; Sprotty; Tool
This paper introduces the first major release of the bigER modeling tool. bigER offers various features for flexibly specifying and visualizing Entity Relationship (ER) data models. Within the Visual Studio (VS) Code IDE, the tool enables hybrid modeling through a textual editor and a graphical editor to display and modify the textual and graphical ER model, respectively. Both editors are realized with a custom language to specify ER elements and allow multi-notation support (currently Bachman, Chen, Crow’s Foot, Min-Max, and UML). The bigER modeling tool incorporates the Language Server Protocol and is based on web technologies, which makes the tool platform-independent and easily extensible. We present the newest extensions of bigER, i.e., multi-notation support and improved edge routing.