Information Retrieval Based Solutions for Software Engineering Tasks Using C Codebases

Comments are descriptions of laws that a human can understand fluently. It’s easier to identify important law blocks with comments. But, not everyone can write the comments duly. They aren’t streamlined along with the law. Having outdated comments in the law can affect confusion rather than explanation. This paper aims at removing comments which aren’t related to code and not useful using Natural Language Processing( NLP). NLP has come one of the most habituated ways in the analysis of textbooks. In NLP, comments are written from the surrounding code given, and Machine Learning algorithms are applied. A semantic analysis frame for comments using textual and structural features grounded on comment orders and code–comment correlation. A machine learning approach is used to determine whether comments are also consistent and not superfluous based on code and comment correlation