An Automated Statechart Diagram Assessment using Semantic and Structural Similarities

The statechart diagram is a behavior in the unified modeling language (UML) diagram. Numerous state chart diagrams are taught computer science majors. In teaching and learning activities, assessment process essential. A teacher required to be objective assessing. However, objectivity can affected by inconsistency fatigue. Thus, an automatic very important. Automatic assessments help teachers save time while assessing answers given multiple students. By combining semantic structural similarities, we propose method evaluate automatically. Semantic comparison conducted based on lexical information from states transitions between two diagrams. We then use combination of cosine similarity, Wu palmer, WordNet assess similarity basis structure using greedy graph edit distance. obtained translating into several graphs. divided types subgraphs, namely intraSim subgraph interSim subgraph. Further, our results demonstrate that proposed agrees well with assessed teacher. agreement value almost perfect agreement. process, observe see instead