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Year 2026 · Volume 5 · Issue 3

Review Article

Applications of Generative AI across the Software Development Lifecycle: A Systematic Taxonomy and Evaluation

Dr. Malay B. Dave1
1 Gujarat, India.

Published Online: September-December 2026

Pages: 76-78

Cite this article

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References

1. A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. Kaiser, and I. Polosukhin, "Attention is all you need," in Advances in Neural Information Processing Systems (NeurIPS 30), 2017, pp. 5998–6008.
2. A. Nguyen-Duc, P. A. B. Smith, and M. R. T. Hansson, "Generative AI in Software Engineering: A Systematic Mapping Study," ACM Computing Surveys, vol. 57, no. 4, pp. 1–38, 2025.
3. E. Brynjolfsson, D. Li, and L. R. Raymond, "Generative AI at Work," NBER Working Paper No. 31182, 2023.
4. A. Barcaui and A. Monat, "Project Planning Efficiency: AI-Based Automation vs. Human Baselines," Project Leadership and Society, vol. 4, p. 100101, 2023.
5. R. Chowdhury and T. Nguyen, "Evaluating Security Vulnerabilities in AI-Generated Code Snippets," in Proceedings of the International Conference on Software Engineering (ICSE), 2023, pp. 412–424.
6. Collante, E. D. R. Santos, and K. L. Thompson, "Empirical Assessment of AI-Assisted Workflows in Enterprise Software Systems," IEEE Transactions on Software Engineering, vol. 51, no. 2, pp. 114–129, 2025.

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