This invention relates to the fields of
software engineering and
artificial intelligence, and particularly to an automated
management system for the entire
software development lifecycle, including a
requirements analysis and architecture design module, a development and testing integration module, a deployment and operation monitoring module, and a visual management module. In the requirements phase, the invention performs semantic
parsing of
natural language requirements to generate structured documents, intelligently matches historical architecture patterns, and establishes a two-way
traceability relationship. In the development and testing phase, it automatically generates code frameworks and test cases, performs incremental
code review based on a defect prediction model, and automatically completes log cleaning, fault location,
root cause analysis, and defect
ticket closure when tests fail. In the deployment and operation phase, it intelligently generates canary release strategies, constructs a digital twin
operation model, and enables multi-dimensional tracing and rapid handling of operational anomalies. This invention breaks down data barriers throughout the entire process with a unified digital mainline data layer, significantly improving
software development and
delivery efficiency and
system operational stability.