AI-driven software engineering

Josh Mahmood Ali

doi:10.54254/2977-3903/3/2023030

Research Article

Open access

Published on 23 October 2023

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Ali,J.M. (2023). AI-driven software engineering. Advances in Engineering Innovation,3,17-21.

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AI-driven software engineering

Josh Mahmood Ali *^,1,

¹ Saint Leo University

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2977-3903/3/2023030

Abstract

The intersection of artificial intelligence (AI) and software engineering marks a transformative phase in the technology industry. This paper delves into AI-driven software engineering, exploring its methodologies, implications, challenges, and benefits. Drawing from data sources such as GitHub and Bitbucket and insights from industry experts, the study offers a comprehensive view of the current landscape. While the results indicate a promising uptrend in the integration of AI techniques in software development, challenges like model interpretability, ethical concerns, and integration complexities emerge as significant. Nevertheless, the transformative potential of AI within software engineering is profound, ushering in new paradigms of efficiency, innovation, and user experience. The study concludes by emphasizing the need for further research, better tooling, ethical guidelines, and education to fully harness the potential of AI-driven software engineering.

Keywords

AI-driven development, software engineering, model interpretability, ethical AI integration, software innovation

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Cite this article

Ali,J.M. (2023). AI-driven software engineering. Advances in Engineering Innovation,3,17-21.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Journal：Advances in Engineering Innovation

Volume number: Vol.3

ISSN：2977-3903(Print) / 2977-3911(Online)

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