A Novel Approach to Spreadsheet Auditing Through Formula Decomposition and Database Integration

Spreadsheet Auditing Through Formula Decomposition and Database Integration This proof-of-concept system decomposes Excel formulas into verifiable calculation steps stored in PostgreSQL, transforming opaque spreadsheet calculations into transparent audit trails. The system parses Excel files, breaks down formulas into discrete operations (arithmetic, functions, lookups), and creates database records for each step with verification status. Key features include secure formula evaluation using Abstract Syntax Tree parsing, batch processing for performance, and support for core Excel functions (SUM, VLOOKUP, IF statements). The PostgreSQL integration enables SQL-based analysis, compliance reporting, and business intelligence integration. Applications include financial auditing for regulatory compliance, research validation, and corporate governance. The database-centric approach provides scalable auditing for large spreadsheet portfolios while maintaining complete calculation transparency. Complete Python implementation demonstrates technical feasibility for enterprise deployment.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-27
DOI
https://doi.org/10.5281/zenodo.17213186
Primary Topic
Dermatology and Skin Diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Novel Approach to Spreadsheet Auditing Through Formula Decomposition and Database Integration

Zenodo (CERN European Organization for Nuclear Research)
Dermatology and Skin Diseases
article

A Novel Approach to Spreadsheet Auditing Through Formula Decomposition and Database Integration

article en

Abstract

Spreadsheet Auditing Through Formula Decomposition and Database Integration This proof-of-concept system decomposes Excel formulas into verifiable calculation steps stored in PostgreSQL, transforming opaque spreadsheet calculations into transparent audit trails. The system parses Excel files, breaks down formulas into discrete operations (arithmetic, functions, lookups), and creates database records for each step with verification status. Key features include secure formula evaluation using Abstract Syntax Tree parsing, batch processing for performance, and support for core Excel functions (SUM, VLOOKUP, IF statements). The PostgreSQL integration enables SQL-based analysis, compliance reporting, and business intelligence integration. Applications include financial auditing for regulatory compliance, research validation, and corporate governance. The database-centric approach provides scalable auditing for large spreadsheet portfolios while maintaining complete calculation transparency. Complete Python implementation demonstrates technical feasibility for enterprise deployment.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 31%
Dermatology and Skin Diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.