TECHNOLOGY SELECTION OF ENTERPRISE JAVA WEB FRAMEWORKS BASED ON EVOLUTIONARY PATH ANALYSIS

In response to the rapid iteration of enterprise-level Java Web frameworks and the lack of systematic theoretical guidance for selection decisions, this study proposes an innovative selection methodology based on the analysis of technical evolution paths. The main innovations are as follows: First, it reconstructs the three-dimensional "scenario-driver-paradigm" analysis model for framework evolution, systematically revealing the internal logic and technological inflection points in the transition from monolithic to cloud-native architectures, going beyond traditional version-based reviews. Second, it proposes a quantitative selection framework based on the dual-track "steady-state-agile-state" adaptation, which for the first time comprehensively models core dimensions such as development efficiency, runtime performance (startup time, memory usage), and cloud-native compatibility, clarifying the Pareto boundaries of mainstream frameworks such as Spring Boot and Quarkus under different constraints. Third, it constructs a hybrid architecture decision-making model based on technical debt and transformation cost assessment, providing enterprises with path planning and risk assessment tools for the smooth evolution from legacy systems to cloud-native architectures. This study validates the effectiveness of the method through empirical case comparisons, offering systematic theoretical foundations and practical guidance for enterprises to make forward-looking, low-risk architectural decisions in complex technological ecosystems.