Automated Code Review Using Transfer Learning and Static Analysis

Authors: Perumallapalli Ravikumar

Country: United States

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Abstract: The need for effective and precise code review procedures has increased due to the complexity of contemporary software systems. Despite being necessary, manual code reviews are frequently laborious, prone to mistakes, and subjective. This study investigates an automated method of code review that combines static analysis and transfer learning. Using pre-trained deep learning models, transfer learning enables domain adaptability and effective coding problem detection across a variety of programming languages and paradigms.Static analysis guarantees thorough code assessment by identifying syntactic and semantic problems through its rule-based and heuristic approaches. By integrating these two approaches, the suggested framework improves the identification of errors, security flaws, and code odors while also providing thorough suggestions for enhancement. The architecture uses a multi-layered design, with static analysis tools verifying adherence to predetermined coding standards and transfer learning models doing high-level code pattern recognition. This system's capacity to adjust to different software development environments and change with emerging programming patterns is one of its primary features. Initial findings show notable reductions in development cycles, less human interaction, and improvements in code quality assurance. The results open the door for further developments in software engineering by demonstrating the possibility of integrating transfer learning and static analysis for intelligent and scalable automated code review.

Keywords: Automated Transfer Learning for Code Reviews, Analysis of Static Code, Assurance of Software Engineering Code Quality,Code Analysis Using Machine Learning, Pre-trained Code Review Models Understanding Semantic Code, Finding Security Vulnerabilities in Source Code Using Code Smells Code Analysis Based on Graphs, Scalable Natural Language Processing for Code Systems for Code Review

Paper Id: 231797

Published On: 2013-09-04

Published In: Volume 1, Issue 1, September-October 2013

Cite This: Automated Code Review Using Transfer Learning and Static Analysis - Perumallapalli Ravikumar - IJIRMPS Volume 1, Issue 1, September-October 2013.

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