Software Engineering Framework

A Software Engineering Framework defines a structured methodology, including guidelines, tools, and processes, for designing, developing, and maintaining software systems. Its core purpose is to streamline development, ensure quality, and manage the inherent complexity of modern software projects. In the context of AI, such a framework can be engineered to capture and embed human domain knowledge into AI agent systems. For instance, one proposed framework augments a Large Language Model (LLM) with components like a request classifier, a Retrieval-Augmented Generation (RAG) system for code generation, codified expert rules, and visualization design principles. These elements are unified within an agent capable of autonomous, reactive, proactive, and social behaviors. This approach addresses critical organizational bottlenecks where specialized domain knowledge is scarce, enabling non-experts to generate effective visualizations and significantly improving output quality, as demonstrated in simulation data visualization. It is crucial for researchers and ML engineers building intelligent, knowledge-driven AI systems.