Programming Language Prediction using Machine Learning

Abstract : The primary tool used in the software development industry is programming languages. Since the 1940s, hundreds of them have been developed, and every day, a sizable number of new lines of code are written in a variety of programming languages and pushed to active repositories. We consider a source code classifier to be a highly valuable tool for automatic syntax highlighting and label suggestion on systems, such as code editors, that can identify the programming language used to write a certain piece of code. This motivated us to use cutting-edge AI methods for text classification to build a model for categorizing code snippets according to their language. We developed a new dataset for our empirical investigation using the GitHub Repos Dataset, which includes 131450 code snippets dispersed over 34 programming languages.