MRI
MRI India Journals Vol. 14 No. 1 (2025)

Impact of AI on Software Development and Testing

Authors

  • Nivedi Sapate  MCA Department Suryodaya College of Engineering & Technology,Nagpur.
  • Shweta Nirkulwar MCA Department Suryodaya College of Engineering & Technology,Nagpur.
  • Laxmi Gathe MCA Department Suryodaya College of Engineering & Technology,Nagpur.
  • Sejal Shahu MCA Department Suryodaya College of Engineering & Technology,Nagpur.
  • Rupesh Bangre MCA Department Suryodaya College of Engineering & Technology,Nagpur.

DOI:

https://doi.org/10.65521/ijacect.v14i1.457

Keywords:

AI Software Development Automation Bug Detection Code Writing

Abstract

Artificial Intelligence (AI) is changing the way software is developed and tested. AI tools help developers write code faster, find errors, and improve software quality. In testing, AI can automatically check for bugs, suggest fixes, and make sure the software works correctly. These advancements save time, reduce mistakes, and improve efficiency. However, there are also challenges, such as the need for skilled professionals and concerns about data privacy. This paper explores how AI is used in software development and testing, its benefits, challenges, and future possibilities. While AI presents numerous benefits, challenges such as data privacy, bias, and the need for skilled professionals remain. This study examines current trends, real-world applications, and future prospects of AI in software development and testing, providing insights into its transformative potential and associated risks.

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Published

2025-05-29

How to Cite

Sapate ,N., Nirkulwar , S., Gathe , L., Shahu , S., & Bangre , R. (2025). Impact of AI on Software Development and Testing. International Journal on Advanced Computer Engineering and Communication Technology, 14(1), 291–294. https://doi.org/10.65521/ijacect.v14i1.457

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