Understanding Machine Learning's Impact on Software Development through AI-Driven Code Generation |
Author(s): |
| Jatin Verma , Department of CSE, CGC- College of Engineering, Landran Mohali Punjab, India.; Kashish Kaushal, Department of CSE, CGC- College of Engineering, Landran Mohali Punjab, India.; Devanshu, Department of CSE, CGC- College of Engineering, Landran Mohali Punjab, India.; Isha Malhotra, Department of CSE, CGC- College of Engineering, Landran Mohali Punjab, India.; Dr. Joginder Singh, Department of Applied Science, CGC- College of Engineering, Landran Mohali Punjab, India. |
Keywords: |
| AI-Powered Code Generation, Machine Learning, Software Development, Neural Code Synthesis, Large Language Models, Automated Programming, Ethical Considerations, And Future Prospects |
Abstract |
|
The most notable transformation in software development practice over the years stems from the advancements in artificial intelligence. Modern methods utilize machine learning algorithms in ways that reduce workforce input, enhance software performance, and automate code writing. This paper focuses on two crucial aspects related to the development of AI in code generation. These aspects include methods and purposes of AI implementation along with its challenges and possibilities. In this study, we detail a number of AI tools such as OpenAI Codex, DeepCode, and PolyCoder, as well as their possible impacts on software engineering. We also examine the norms of applying AI to the software development processes and questions of morality. |
Other Details |
|
Paper ID: IJSRDV13I20204 Published in: Volume : 13, Issue : 2 Publication Date: 01/05/2025 Page(s): 214-220 |
Article Preview |
|
|
|
|
