IMPLEMENTING SONARQUBE FOR METICULOUS CODE QUALITY ANALYSIS WITHIN AZURE DEVOPS: ELEVATING SOFTWARE DEVELOPMENT LIFECYCLE STANDARDS
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This project aims to improve software development standards by implementing SonarQube for rigorous code quality analysis within Azure DevOps. High code quality is crucial for reliable, secure, and scalable applications, as it directly impacts reliability, maintenance ease, and overall efficiency. By seamlessly integrating SonarQube into Azure DevOps, developers will receive real-time feedback on code changes, enabling early issue detection and resolution. This integration streamlines the development workflow, empowering teams to maintain high coding standards effortlessly. Key components include configuring SonarQube in Azure DevOps, defining quality gates, and automating code analysis in the CI/CD pipeline. The goal is to foster a culture of proactive code quality management, leading to improved software reliability, maintainability, and development efficiency.Abstract
This project aims to improve software development standards by implementing SonarQube for rigorous code quality analysis within Azure DevOps. High code quality is crucial for reliable, secure, and scalable applications, as it directly impacts reliability, maintenance ease, and overall efficiency. By seamlessly integrating SonarQube into Azure DevOps, developers will receive real-time feedback on code changes, enabling early issue detection and resolution. This integration streamlines the development workflow, empowering teams to maintain high coding standards effortlessly. Key components include configuring SonarQube in Azure DevOps, defining quality gates, and automating code analysis in the CI/CD pipeline. The goal is to foster a culture of proactive code quality management, leading to improved software reliability, maintainability, and development efficiency.Downloads
Published
2025-07-31
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Articles
How to Cite
IMPLEMENTING SONARQUBE FOR METICULOUS CODE QUALITY ANALYSIS WITHIN AZURE DEVOPS: ELEVATING SOFTWARE DEVELOPMENT LIFECYCLE STANDARDS. (2025). International Journal of Engineering and Science Research, 14(2s), 497-508. https://r48.c30.mytemp.website/index.php/ijesr/article/view/892










