|
| Abstract: |
| Ensuring software quality in open-source environments requires adaptive mechanisms to enhance scalability, optimize service provisioning, and improve reliability. This study presents the dynamic correlation analysis technique to enhance software quality management in open-source environments by addressing dynamic scalability, adaptive service provisioning, and software reliability. The proposed methodology integrates a scalability metric, an optimized service provisioning model, and a weighted entropy-based reliability assessment to systematically improve key performance parameters. Experimental evaluation conducted on multiple open-source software(OSS) versions demonstrates significant improvements: scalability increased by 27.5%, service provisioning time reduced by 18.3%, and software reliability improved by 22.1% compared to baseline methods. A comparative analysis with prior works further highlights the effectiveness of this approach in ensuring adaptability, efficiency, and resilience in dynamic software ecosystems. Future work will focus on real-time monitoring and AI-driven adaptive provisioning to further enhance software quality management. |
| Key words: open-source software dynamic correlation analysis scalability service provisioning software reliability entropy-based assessment |
| DOI：10.11916/j.issn.1005-9113.2024078 |
| Clc Number:TP311.52 |
| Fund: |
