Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Simplicity, maintainability and breadth of the software code bases is once again being taken into consideration because of the modern software development dominance. Considered a viable option to mitigate code quality concerns, performance bottlenecks, and long-term sustainability of software engineers' projects, automated code refactoring and optimization provide an encouraging path forward. Rapid adoption of artificial intelligence, most notably machine learning and deep learning models, makes it possible for software engineers to start automating the refactoring process. This review paper presents a specific alternative on the practice and methods, and tools employed in automated code refactoring and optimization. It also discusses current developments within artificial intelligence driven approaches, and the software engineers' adoption of such approaches into current software engineering frameworks, along with established metrics on performance and maintainability.
"Enhancing Software Efficiency Through Automated Code Refactoring and Optimization", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.d258-d263, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504328.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator