Published September 30, 2024
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An Examination of Artificial Intelligence in Software Development: Code Generation, Testing, Maintenance, and Security
Authors/Creators
- 1. Department of Mechanical Engineering, Jawaharlal Darda Institute of Engineering and Technology, India
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02.27-33.pdf
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Additional details
Identifiers
- EISSN
- 3025-0129
Related works
- Is documented by
- Publication: https://jurnal.akseprin.org/index.php/MJAI/article/view/166 (URL)
Dates
- Issued
-
2024-09-30
References
- A. Efe, "Usage of artificial intelligence to improve secure software development," The Journal of International Scientific Researches, vol. 6, no. 1, pp. 46–57, 2021. D. S. Battina, "Artificial intelligence in software test automation: A systematic literature review," International Journal of Emerging Technologies and Innovative Research (www. jetir. org| UGC and issn Approved), ISSN, pp. 2349–5162, 2019. R. Vadisetty, A. Polamarasetti, S. Prajapati, and J. B. Butani, "Leveraging Generative AI for Automated Code Generation and Security Compliance in Cloud-Based DevOps Pipelines: A Review," Available at SSRN 5218298, 2023. M. Islam, F. Khan, S. Alam, and M. Hasan, "Artificial intelligence in software testing: A systematic review," in TENCON 2023-2023 IEEE Region 10 Conference (TENCON), IEEE, 2023, pp. 524–529.