ChatGPT in Software Development: Methods and Cross-Domain Applications

Authors

  • Ajay Sudhir Bale Dept. of ECE, New Horizon College of Engineering
  • Yaswanth Reddy Vada Salesforce Administrator, The Los Angeles Film School, Los Angeles, CA, USA
  • Blessing Emmanuella Oshiojum Assistant Professor, College of Business Technology, Concordia University St. Paul, USA
  • Uday Kiran Lakkineni Data Science, Seidenberg School of Computer Science and Information Systems, Pace University, New York, USA
  • Chandra Rao Assistant Professor, Computer science Engineering, Malla Reddy Engineering College for Women, Hyderabad
  • K. Venkatesh6 Assistant Professor, Computer science Engineering, Malla Reddy Engineering College for Women, Hyderabad
  • Ishta Rani Assistant professor, CSE, Chandigarh University,

Keywords:

Generative images, Generative videos, UX, UI, Automation, AI

Abstract

Through the use of natural language processing (NLP) to analyze and synthesize data, ChatGPT has the potential to advance Software Engineering (SE) studies. Yet, it may provide moral challenges such as the possibility for data bias, leakage of private information, and the compromise of sensitive information. Utilizing ChatGPT, we highlight such current developments in SE. We also explore ChatGPT's potential outside of the gaming industry. Finally, we suggest leveraging ChatGPT to simplify UI and UX interaction. This article will provide an established protocol for using ChatGPT applications within SE investigation while keeping ethical concerns in mind.

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Published

12.07.2023

How to Cite

Bale, A. S. ., Vada, Y. R. ., Oshiojum, B. E. ., Lakkineni, U. K. ., Rao, C. ., Venkatesh6, K. ., & Rani, I. . (2023). ChatGPT in Software Development: Methods and Cross-Domain Applications. International Journal of Intelligent Systems and Applications in Engineering, 11(9s), 636–643. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3212

Issue

Vol. 11 No. 9s (2023)

Section

Research Article

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