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ISSN: 2582-8266 (Online)  || UGC Compliant Journal || Google Indexed || Impact Factor: 9.48 || Crossref DOI

Fast Publication within 2 days || Low Article Processing charges || Peer reviewed and Referred Journal

Research and review articles are invited for publication in Volume 18, Issue 2 (February 2026).... Submit articles

Enhancing software engineering practices with generative AI: A framework for automated code synthesis and refactoring

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  • Enhancing software engineering practices with generative AI: A framework for automated code synthesis and refactoring

Kodamasimham Krishna *, Dheerender Thakur and Harika Sree Meka

Independent Researcher, USA.

Review Article
 
World Journal of Advanced Engineering Technology and Sciences, 2024, 13(01), 672–681.
Article DOI: 10.30574/wjaets.2024.13.1.0463
DOI url: https://doi.org/10.30574/wjaets.2024.13.1.0463

Received on 17 August 2024; revised on 26 September 2024; accepted on 29 September 2024

This paper is based on how software development has been revolutionized using AI in automation, mainly dealing with code synthesis and rewrite frameworks. While there is no focused definition for software development with AI technologies, their application in development processes is unlikely to remain marginal as they mature and provide higher productivity, improved code quality, and enhanced ability for automating repetitive tasks in development. Automating coding means that predefined tools can bring code suggestions, show and apply refactoring features, and enforce coding standards so developers can devote their efforts to other aspects of software development. The following paper describes the practical systems that should be adopted before AI can be incorporated into software development. It also covers essential factors such as ethical, security, and quality aspects regarding the proper use of artificial intelligence. Lastly, the paper focuses on the direction and innovations in the future, including domain-specific AI models, better explainability of the AI solutions, and collaborative tools that can work according to improved and modified development practices. The framework is intended to balance machine learning with human experience to help developers utilize the benefits that an AI-Based Software Development Framework can render.

AI-driven automation; Code quality; Ethical considerations; Machine learning; Software development

https://wjaets.com/sites/default/files/fulltext_pdf/WJAETS-2024-0463.pdf

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Kodamasimham Krishna, Dheerender Thakur and Harika Sree Meka. Enhancing software engineering practices with generative AI: A framework for automated code synthesis and refactoring. World Journal of Advanced Engineering Technology and Sciences, 2024, 13(01), 672–681. Article DOI: https://doi.org/10.30574/wjaets.2024.13.1.0463

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