Artificial Intelligence and Machine Learning in Software Development

Authors

  • Dr. A. Ramalingam Professor, Department of Master of Computer Applications, Sri Manakula Vinayagar Engineering College, Pondicherry, IND. Author
  • J. Aasik Milan Student, Department of Master of Computer Applications, Sri Manakula Vinayagar Engineering College, Pondicherry, IND. Author
  • M. Anbu Mani Student, Department of Master of Computer Applications, Sri Manakula Vinayagar Engineering College, Pondicherry, IND. Author

DOI:

https://doi.org/10.54368/qijirse.2.2.0007

Keywords:

Artificial Intelligence, Challenges, Machine Learning, Practices, Software Engineering, Software Development

Abstract

In recent times, there has been a growing trend in software development towards the incorporation of artificial intelligence (AI) and machine learning (ML). AI and ML technologies have gained significant traction across various industries, as businesses aim to enhance their offerings and expand their product portfolios. However, the development of AI/ML systems presents unique engineering challenges distinct from traditional software development. This study seeks to examine the application of software engineering (SE) practices in the development of AI/ML systems and explore the challenges and practices that align with the requirements of industry professionals.

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Published

2024/08/10

Issue

Vol. 2 No. 2 (2023)

Section

Original Articles

License

Copyright (c) 2023 Quing: IJIRSE

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Ramalingam, A., Milan, J. A., & Mani, M. A. (2024). Artificial Intelligence and Machine Learning in Software Development. Quing: International Journal of Innovative Research in Science and Engineering, 2(2), 78-86. https://doi.org/10.54368/qijirse.2.2.0007