Design & Development of an Oracle for Multi-Language Software Information Prospecting

This paper details the development of Panorama, a theoretical and operational framework designed for the comprehension of large-scale, multilingual software systems. The system is predicated on the deployment of instrumentation agents capable of traversing software at varying levels of abstraction. These agents utilize both static and dynamic analysis—treating the software as either a "black box" or "white box"—to extract critical architectural and operational data. Building upon prior research regarding core instrumentation statements for testability optimization [11], this framework is distributed and language-agnostic, supporting assembly, procedural, and objectoriented (OO) paradigms. The current iteration of Panorama augments this foundation with advanced theoretical principles and instrumentation procedures to facilitate comprehensive software visualization. The instrumentation process is managed by a distributed, agent-based system that automatically identifies underlying programming languages and captures the requisite metadata for diverse application requirements. Furthermore, it is posited that robust optimization procedures are essential for dynamic system composition. To support these objectives, Panorama features autonomous self-cataloguing and querying capabilities, alongside tailored view maintenance for specific application domains. Finally, the architecture is designed for scalability and can be integrated within a cloud-based environment.