Revolutionizing Code: The Role of AI in Software Engineering

Authors

  • Rahul Sanjay Panchal Department of Computer Science, University of Texas at Arlington, Arlington, Texas, United States Author

DOI:

https://doi.org/10.32628/IJSRSET25121152

Keywords:

Natural Language Processing (NLP), Deep Learning, Reinforcement Learning, Machine Learning (ML), Artificial Intelligence (AI)

Abstract

Information regarding artificial intelligence in software engineering is presented in this document. Information about AI and its varieties can be found here. A sneak peek at AI agents, learning in AI, and subsets of AI will also be included.

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References

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Sabharwal N, Agrawal A. Up and Running Google AutoML and AI Platform: Building Machine Learning and NLP Models Using AutoML and AI Platform for Production Environment. BPB Publications; 2021.

Turing, A., “Computing Machinery and Intelligence”, Mind, 1950, Vol. 45, pp. 433-460 DOI: https://doi.org/10.1093/mind/LIX.236.433

Sorte, B., Joshi, P., and Jagtap, V., “Use of Artificial Intelligence in Software Development Life Cycle - A state of the art review”, International Journal of Advanced Computer Engineering and Communication Technology, 2015, Vol. 4, pp. 2278-5140

Rech, J., and Althoff, K., “Artificial Intelligence and Software Engineering: Status and Future Trends”, KI, 2004, Vol. 18, pp. 5-11

https://en.wikipedia.org/wiki/Artificial_intelligence

https://www.w3schools.com/training/aws/introduction-to-artificial-intelligence.php

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https://www.javatpoint.com/types-of-artificial-intelligence

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Published

07-01-2025

Issue

Section

Research Articles

How to Cite

[1]
Rahul Sanjay Panchal, “Revolutionizing Code: The Role of AI in Software Engineering”, Int J Sci Res Sci Eng Technol, vol. 12, no. 1, pp. 49–55, Jan. 2025, doi: 10.32628/IJSRSET25121152.

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