AI RESEARCH
Engineering Systems for Data Analysis Using Interactive Structured Inductive Programming
arXiv CS.AI
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ArXi:2503.14488v3 Announce Type: replace Engineering information systems for scientific data analysis presents significant challenges: complex workflows requiring exploration of large solution spaces, close collaboration with domain specialists, and the need for maintainable, interpretable implementations. Traditional manual development is time-consuming, while "No Code" approaches using large language models (LLMs) often produce unreliable systems. We present iProg, a tool implementing Interactive Structured Inductive Programming.