Implementation strategy for code analyser component of rule-based self-learning model for automatic evaluation of C++ programs

Abstract

This research paper provides a detailed explanation about the implementation strategy of the code analyser component of the rule-based self-learning model for automatic evaluation of C++ programs Christian (Information and Communication Technology for Sustainable Development. Conference 2017, vol 9, pp 469, Springer, 2017, [1]). The main idea of this paper is to enlighten the procedure through which the first and the foremost component of the referred and targeted model can be implemented. This research paper also focuses on the rule formation style and also how different grades can be incorporated to achieve the grade analysing part of the model. Also, the research paper explains generic nature of the implementation strategy and various ways in which it can be extended as well as moderated for further scope of model implementation.