CodeGuardian: Improving Software Quality with Automated CI-Driven Analysis

CodeGuardian is an advanced static code analyzer designed with much to improve the processes of software development. This is by automating performance and quality of code intelligence. A tool of this nature typically has an intuitive interface that works in combination with a large backend to drive a complete solution for managing code efficiently. Core features include project management, static code analysis, smooth integration of the continuous integration/ continuous deployment pipeline, and storage of extensive analysis results. In the backend, it can be used with several static analysis tools to scan code for any issues, and is able to notify users about key activities and findings. The front end should be an intuitive, responsive user interface that shall support easier project management. This view of extended analysis reports provides clear visualizations so that the monitoring of code quality trends becomes much easier.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/ictbig64922.2024.10911161
Primary Topic
Software System Performance and Reliability
Type
article
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article

CodeGuardian: Improving Software Quality with Automated CI-Driven Analysis

K. Haripriya, Jitendra Kumar, Sujitha Reddy, G Sreevibha et al.
Software System Performance and Reliability
article

CodeGuardian: Improving Software Quality with Automated CI-Driven Analysis

K. Haripriya, Jitendra Kumar, Sujitha Reddy, G Sreevibha, T Sai Nithish
article en

Abstract

CodeGuardian is an advanced static code analyzer designed with much to improve the processes of software development. This is by automating performance and quality of code intelligence. A tool of this nature typically has an intuitive interface that works in combination with a large backend to drive a complete solution for managing code efficiently. Core features include project management, static code analysis, smooth integration of the continuous integration/ continuous deployment pipeline, and storage of extensive analysis results. In the backend, it can be used with several static analysis tools to scan code for any issues, and is able to notify users about key activities and findings. The front end should be an intuitive, responsive user interface that shall support easier project management. This view of extended analysis reports provides clear visualizations so that the monitoring of code quality trends becomes much easier.

Vignana Jyothi Institute of Management (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 66%
Software System Performance and Reliability
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CodeGuardian: Improving Software Quality with Automated CI-Driven Analysis — K. Haripriya, Jitendra Kumar, et al. · (2024) | TGRS Research Map | TGRS