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Code Analyzer.

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Bibliographic Details
Title: Code Analyzer.
Authors: Ahire, Purvesh, Milind Kulkarni, Prof., Avachat, Manas, Bhople, Rutuja, Singh, Annany Dev
Source: Grenze International Journal of Engineering & Technology (GIJET); Jan2024, Vol. 10 Issue 1, Part 2, p1380-1385, 6p
Subject Terms: JAVA programming language, COMPUTER software development, SOURCE code, MAINTAINABILITY (Engineering), MODULAR design, HEALTH websites
Abstract: This research paper explores the role of code analyzer that takes the help of tokenization in its working. To assure code quality and maintainability, code analysis is essential in software development. In the context of the Java programming language, this paper provides a creative approach to code analysis utilizing tokenization. Our code analyzer allows for an accurate assessment of code structure, dependencies, and patterns by tokenizing source code into understandable units. The suggested analyzer, which uses token-based methodologies, aids in the correct identification of possible defects, and performance bottlenecks. It provides vital information for developers to improve code readability, modularization, and best practices adherence. The experimental findings show that the tokenization-based technique is successful and efficient in increasing overall code quality and maintainability. [ABSTRACT FROM AUTHOR]
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Database: Complementary Index
Description
Abstract:This research paper explores the role of code analyzer that takes the help of tokenization in its working. To assure code quality and maintainability, code analysis is essential in software development. In the context of the Java programming language, this paper provides a creative approach to code analysis utilizing tokenization. Our code analyzer allows for an accurate assessment of code structure, dependencies, and patterns by tokenizing source code into understandable units. The suggested analyzer, which uses token-based methodologies, aids in the correct identification of possible defects, and performance bottlenecks. It provides vital information for developers to improve code readability, modularization, and best practices adherence. The experimental findings show that the tokenization-based technique is successful and efficient in increasing overall code quality and maintainability. [ABSTRACT FROM AUTHOR]
ISSN:23955287