Comment Generator for Java using Deep Learning
S. Saranya, S. Kiruthika Devi, R. M. Suruthi, M Naveenkumar, B Sethubharathi · 2023
Working on a project is simple until we are the only ones involved and know all of the modules and processes. However, the issue occurs when a fresh developer works on your project after a lengthy period of time or when you work in a team. If you don't provide the appropriate comments, reading and comprehending the code becomes significantly more difficult. We can't tell what the code is doing just by reading it. As a result, providing useful comments is critical to understanding the code and working on it further. We present a technique to generate automated comments using a deep learning model that will take your whole block of code as input and produce a relevant remark. With Java, the suggested model achieves an accuracy of roughly 75%. This may differ in other languages such as Python, Go, and Javascript. This may be utilized in a large project by a person or a firm to easily collect opinions, reducing human labor and time to a large amount. The model has a BLEU score of 65 percent.