In this article, algorithms that compute the syntactic and semantic similarities of nodes to fulfill the objective of automatic assessment of use-case diagrams are described. Therefore, the automatic assessment of diagrammatic answers is a challenging task. In the delivery of e-learning material, automatic e-assessment has been applied only to some extent in the case of free response answers in highly technical diagrams in domains like software engineering, electronics, etc., where there is a great scope of imagination and wide variations in answers. To find the feasibility of proposed architecture for Automatic Assessment of Use-Case Diagram, online survey has been conducted and detailed statistical analysis of the responses is discussed in this paper.Į-learning plays a significant role in educating large number of students. Objective of this research is to know the feasibility of such tool from the appropriate stakeholders. In such situation, if there is a tool which can automatically assess the student answer and generate a quality feedback will be useful for teachers and students. Diagrammatic answer of given Use-Case scenario is highly subjective from student to student and still it can be correct. However, to evaluate diagrammatic answer is still a challenge. MCQ Online exam is one of the successful examples where the whole evaluation process is fully automatic. Since decade, researchers are constantly working on innovative and automatic way to improve the assessment process. Online use case diagram editor manual#Manual assessment is especially a tedious and time-taking process when the number of students enrolled in a subject is large.
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