Object Oriented Metrics Based Analysis of DSA algorithm for authentication of Study material in E-learning

Abstract

With the increasing popularity of e-learning, the organizations, those are providing the facility of e-learning, facing too many challenges regarding the security. In case of e-learning, the main area, where the security is so much needed, is the transmission of any online documents like marks sheets, study materials, registration numbers, admit cards and so many other learning related documents. To provide authenticity in case of these kinds of transmission of documents, organizations can use Digital Signature Algorithm (DSA). The object oriented analysis and design of any system makes it better in sense of understandability, maintainability, code re-usability, it reduces time and cost of the system development and improves the quality of the system. There are mainly two kinds of metric analysis, those are complement to each other: Chidamber and Kemerer (CK) metric and Metric for Object Oriented Design (MOOD) metric. We will analyze the value for these two metrics using the class hierarchy diagram of the DSA algorithm regarding the transmission of study materials from the administrator to student in an e-learning system.