Trends in SDLC Document Review using Generative AI

Authors

  • Prashant Gulave Department of Computer Science, JSPM’s Rajarshi Shahu College of Engineering, Pune, Maharashtra, India Author
  • Dr. Kavita Moholkar Department of Computer Science, JSPM’s Rajarshi Shahu College of Engineering, Pune, Maharashtra, India Author

DOI:

https://doi.org/10.32628/CSEIT25112777

Keywords:

Generative AI, SDLC, Document Review, Large Language Models, NLP

Abstract

This research paper explores the evolving role of Generative AI in Software Development Life Cycle (SDLC) document review. With AI-driven advancements in Natural Language Processing (NLP), models such as GPT, BERT, and domain-specific LLMs have been adapted to evaluate requirement specifications, test plans, and design documents. We present an analysis of how these models are being fine-tuned for document validation, compliance checking, and contextual feedback generation in the software industry. The paper also examines the integration of rule-based methods with AI, providing structured feedback for engineering domain documentation. Furthermore, we discuss emerging trends, challenges, and future research directions for enhancing AI-based document review in SDLC.

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References

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Published

02-04-2025

Issue

Vol. 11 No. 2 (2025): March-April

Section

Research Articles

License

Copyright (c) 2025 International Journal of Scientific Research in Computer Science, Engineering and Information Technology

Creative Commons License

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