International Journal on Science and Technology

E-ISSN: 2229-7677   •   Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 2 April-June 2025 Submit your research before last 3 days of June to publish your research paper in the issue of April-June.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 16 Issue 2
2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Generative AI in Software Architecture: Transforming Design and Development Processes

Author(s) Ritesh Kumar
Country United States
Abstract The integration of Generative Artificial Intelligence (GenAI) in software architecture marks a paradigm shift, significantly reshaping traditional design and development processes. This paper provides a systematic exploration of how generative AI techniques, including large language models (LLMs) and automated code generation tools, influence architectural decision-making, enhance software quality, and streamline development workflows. Through an analysis of contemporary generative AI applications and frameworks, we highlight their capabilities to automatically propose optimal architectural patterns, improve design consistency, and accelerate iterative prototyping. The study further evaluates critical challenges such as the accuracy of generated outputs, explainability, security implications, and ethical considerations. Empirical results from case studies demonstrate substantial productivity gains and reduced development cycles, validating the practical effectiveness of GenAI-driven software architectures. Finally, we discuss future directions and opportunities for further research in integrating advanced generative models into complex architectural scenarios.
Keywords Generative AI, Software Architecture, AI-driven Development, Large Language Models, Automated Code Generation, Software Engineering, Architectural Decision-making, AI Ethics, Code Quality, Development Efficiency
Field Engineering
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-03-05
Cite This Generative AI in Software Architecture: Transforming Design and Development Processes - Ritesh Kumar - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.3718
DOI https://doi.org/10.71097/IJSAT.v16.i1.3718
Short DOI https://doi.org/g9fmwf
View / Download PDF File

Share this



CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJSAT DOI prefix is
10.71097/IJSAT

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 15 Isu 4Cover Page Vol 15 Isu 3Cover Page Vol 15 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJSAT
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us Message on WhatsApp +91-9687-182-185 editor@ijsat.org