Semantic Reverse Engineering Legacy Software Applications with ChatGPT, Gemini AI, and Claude AI
Christian Mancas, Diana Christina Mancas
TL;DR
This paper explores using advanced AI models like ChatGPT, Gemini, and Claude AI to perform semantic reverse engineering on legacy database software applications, aiming to improve understanding and modernization efforts.
Contribution
It introduces a novel approach employing multiple AI models for semantic reverse engineering of legacy software, enhancing analysis capabilities.
Findings
AI models successfully extracted semantic information from legacy applications.
The approach improved understanding of legacy database structures.
Potential for automating software modernization processes.
Abstract
This research paper describes our research results on using ChatGPT, Gemini, and Claude AI to semantically reverse engineer legacy database software applications.
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