Name
Abstract | ||
|---|---|---|
Content-assist systems and code completion are nicely accessible in integrated development environments (IDEs). Using multiple data sources and performing sophisticated completion in several editors is quite common. However, no such supporting system exists for modeling environments, e.g., a completion mechanism in class diagrams is only existent for textual items like names, if at all.We designed a framework to bolster model recommendation research and present the requirements, concepts, architecture, and the realization below. Last of which is easily extendable and adaptable to either new data recommendation strategies or new environments like editors. As additional tool support, we provide a simulation environment, which ease development as well as implementing recommendation algorithm. Accordingly, researchers get all the conceptual groundwork and a realized infrastructure that ease the initial burden to start recommendations in modeling environments. |
Year | Venue | Keywords |
|---|---|---|
2014 | MODELSWARD | EMF,MDD,MDE,Model Completion,Model Recommendation,Model Reuse,Modeling Support,Recommender Framework,Recommender Systems |
Field | DocType | Citations |
Recommender system,Bolster,World Wide Web,Multiple data,Architecture,Systems engineering,Software engineering,Unified Modeling Language,Computer science,Knowledge-based systems,User interface,Class diagram | Conference | 2 |
PageRank | References | Authors |
0.38 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrej Dyck | 1 | 9 | 1.59 |
| Andreas Ganser | 2 | 13 | 3.02 |
| Horst Lichter | 3 | 252 | 51.53 |