Recommended Practice for Generative Pre-trained Transformer Empowered Software Engineering Life Cycle

Abstract

For the software engineering life cycle empowered by Generative Pre-trained Transformer (GPT) this recommended practice specifies: • a description and definitions, • the competency in each stage applying GPT, • levels of intelligence empowered by GPT, • intelligence level evaluation methods. A generative pre-trained transformer (GPT) is a type of neural network architecture used in natural language processing (NLP) applications. GPTs are transformational self-supervised NLP models that can generate human-like language and fine-tune to various downstream tasks, enabled by their pre-training approach and large transformer architectures. © Copyright 2024 IEEE – All rights reserved.

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