Proactive Strategies for Open-Source Software Quality Management Using Dynamic Correlation Analysis

Key words:  open-source software  dynamic correlation analysis  scalability  service provisioning  software reliability  entropy-based assessment

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 was increased by 27.5%, service provisioning time was reduced by 18.3%, and software reliability was 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.