A Knowledge Graph Based Technology of Operating System Software Repository Evolution Analysis

The operating system software repository is a collection of software package resources that are used to build operating system distributions. It also serves as a platform for users to install and update the system software. Owing to the extensive array of software packages within the software repository, intricate dependency relationships among these packages, and the asynchronous nature of updates for different software packages, the evolution and upgrade of both the software repository and operating system version are challenging to predict. This presents significant hidden risks for version updates and ecological compatibility governance. To tackle this issue, the paper designs a knowledge graph for the operating system software repository. Additionally, it suggests a method for identifying changes and ensuring coherence within the software repository by utilizing the knowledge graph. We select typical open source operating system software repositories for evolutionary analysis. Results demonstrate that the proposed method, as compared to traditional dependency detection methods such as Boolean expressions, examines package dependencies and overall self-consistency of the repository from a macro perspective of the operating system. This approach effectively identifies and guides the improvement of deep inconsistent relationships. It offers a new tool and perspective for constructing, managing, and maintaining operating system software repositories.