Application of Large Language Models to Software Engineering Tasks: Opportunities, Risks, and Implications

Has the day we all have been waiting for really arrived? Have advances in deep learning and machine learning (ML) finally reached a turning point and have started to produce “accurate enough” assistants to help us in a variety of tasks, including software development? Are large language models (LLM)...

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Bibliographic Details
Published inIEEE software Vol. 40; no. 3; pp. 4 - 8
Main Author Ozkaya, Ipek
Format Journal Article
LanguageEnglish
Published Los Alamitos IEEE 01.05.2023
IEEE Computer Society
Subjects
Artificial intelligence
Artists
Deep learning
Large language models
Machine learning
Software development
Software engineering
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Summary:Has the day we all have been waiting for really arrived? Have advances in deep learning and machine learning (ML) finally reached a turning point and have started to produce “accurate enough” assistants to help us in a variety of tasks, including software development? Are large language models (LLM) going to turn us all into better writers, artists, translators, programmers, health-care workers, not to mention software engineers? Or are we at a risky turning point where we will not be able to separate artificial intelligence (AI)-generated content from user-created ones, drowning in misinformation and perfect sounding yet fake and incorrect information and AI-generated faulty programs?
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ISSN:0740-7459
1937-4194
DOI:10.1109/MS.2023.3248401