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This paper presents the system submitted by the team from IIT(ISM) Dhanbad inFIRE IRSE 2023 shared task 1 on the automatic usefulness prediction ofcode-comment pairs as well as the impact of Large Language Model(LLM) generateddata on original base data towards an associated source code. We have developeda framework where we train a machine learning-based model using the neuralcontextual representations of the comments and their corresponding codes topredict the usefulness of code-comments pair and performance analysis withLLM-generated data with base data. In the official assessment, our systemachieves a 4% increase in F1-score from baseline and the quality of generateddata.

A study of the impact of generative AI-based data augmentation on software metadata classification