Authors : V. Lakshmi Narasimhan

Volume/Issue : Volume 11 - 2026, Issue 3 - March

Google Scholar : https://tinyurl.com/2rjpsb6a

Scribd : https://tinyurl.com/4yzsxj3p

DOI : https://doi.org/10.38124/ijisrt/26mar1984

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : 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.

Keywords : Program Visualisation, Multi-lingual Software, Code Instrumentation and View Materialisation and Maintenance.

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