Textual Intelligence

15Unveiling the Potential of Massive Language Models in Software Engineering: Exploring Opportunities, Addressing Risks, and Comprehending Implications

Mitali Chugh

School of Computer Science, UPES, Dehradun, India

Abstract

Large language models, like GPT-3.5, have brought about a fully innovative phase in software engineering with various potential challenges and transformative implications. This book chapter evaluates the intricate scenario of using these advanced language models, revealing budding applications tackling related issues, and understanding the substantial inferences for the software engineering ecosystem. At inception, the chapter explores the abilities of large language models, highlighting their abilities in natural language generation. It centers on how these models can generate documentation, improve code, and possibly facilitate debugging. On the contrary, with some technological progression, the chapter distinguishes the core threats and challenges associated with deploying large language models in software engineering. It precisely investigates concerns such as language model bias, the ethical implications of automating some software development processes, and the likelihood of unexpected effects. The chapter strives to deliver an actual evaluation of these challenges to present an in-depth outline of the ethical application of large language models in software engineering. The chapter addresses potential risks and presents strategies and best practices ...