AI & Computingarticle2026-08-10

Enterprise Defect Analysis Methodology (EDAM) – Version 2.0 – Phase 2: Enterprise Defect Classification

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Abstract

Enterprise Defect Analysis Methodology (EDAM) is an evidence-first methodology for enterprise software quality engineering. EDAM transforms historical enterprise defect repositories into trustworthy evidence before analysis begins. The methodology establishes a structured, repeatable, and technology-independent approach for validating, classifying, and analyzing enterprise defect evidence. Version 2.0 includes: Enterprise Problem Vision Foundation Evidence-First Philosophy Core Principles Methodology Objectives EDAM Architecture Phase 1 – Enterprise Dataset Validation (EDV) Phase 2 – Enterprise Defect Classification Appendix A About the Author Version History Phase 2 – Enterprise Defect Classification establishes a consistent, evidence-supported classification structure for validated enterprise defect evidence. It provides multiple classification dimensions while preserving traceability, historical context, and classification uncertainty. Version 2.0 builds upon the Foundation and Phase 1 – Enterprise Dataset Validation established in EDAM Version 1.0. GitHub Repository:Enterprise Defect Analysis Methodology (EDAM) Version 1.0:Foundation + Phase 1 – Enterprise Dataset Validation Version 2.0:Phase 2 – Enterprise Defect Classification

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View paper (DOI)Open access versionOpenAlexZenodo (CERN European Organization for Nuclear Research)Published 2026-08-10

Authors: Anurag Bhatia

Institutions: American National Standards Institute