Effective Label Matching for Automatic Evaluation of Use -- Case Diagrams

Abstract

Studies show that, increased commercialization of education has made higher education very expensive. It will be beneficial if teachers having proficiency in the irrespective disciplines share their knowledge with the students, unable to afford higher education. However, evaluating large number of students online is very tedious and cumbersome task. Thus, it needs the automation of the evaluation. The evaluation of Use-case diagrams automatically and correctly is a challenging task. Usually much of the meaning of Use -- Case diagrams reside in the labels. In this paper, we have mainly focused on effective label matching of Use -- Case components of learner's and ideal diagram by providing them Use -- Case Diagram Editor(UDE). We have described architecture of application which provides label matching process. Label matching here is not only simple string matching but misspelling words, abbreviating words, synonyms are also handled effectively. We have analyzed the results of experiment with this editor.