A Practical Guide to Uncovering Hidden Requirements in B2B Systems

This article shares a step‑by‑step framework for systematically discovering hidden user requirements in rule‑intensive B2B applications, using real‑world case studies, the McGovern iceberg model, four investigative dimensions, and funnel‑style questioning to turn vague requests into concrete, auditable features.

B2B product managementFMEAempathy map

0 likes · 20 min read

A Practical Guide to Uncovering Hidden Requirements in B2B Systems

Woodpecker Software Testing

Mar 2, 2026 · Artificial Intelligence

How AI‑Driven Testing Boosted ADAS Coverage from 68% to 92% in 2026

In 2026 a leading EV maker raised its ADAS OTA braking module test coverage from 68% to 92% by applying a 3‑D heat‑map diagnosis, AI‑generated test cases, hardware‑in‑the‑loop injection, and CI‑enforced coverage gates, dramatically improving safety‑critical reliability.

ADASAI testingFMEA

0 likes · 7 min read

How AI‑Driven Testing Boosted ADAS Coverage from 68% to 92% in 2026

Old Zhao – Management Systems Only

Apr 28, 2025 · Operations

How to Build a Zero-Defect Quality System: From FMEA to PDCA

This article explains why true quality management must shift from reactive inspections to proactive source‑error prevention, process control, supplier oversight, final inspection, continuous PDCA improvement, and a company‑wide quality culture.

FMEAPDCAProcess Control

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How to Build a Zero-Defect Quality System: From FMEA to PDCA

Software Development Quality

Jul 25, 2024 · R&D Management

How to Build a Robust Hardware R&D Quality Management Process

This guide outlines a comprehensive hardware R&D quality management process—from project initiation and requirement analysis to design reviews, testing, SPC, FMEA, and cost management—ensuring product reliability, stability, and competitive market performance.

FMEAHardwareR&D

0 likes · 8 min read

How to Build a Robust Hardware R&D Quality Management Process

Tencent Cloud Developer

Jul 17, 2024 · Operations

Combining FMEA and Chaos Engineering to Improve Software Architecture Availability

By integrating the proactive, static risk assessment of Failure Mode and Effects Analysis with the dynamic fault‑injection validation of chaos engineering, the article demonstrates how cloud‑native architectures—illustrated through a Tencent‑based e‑commerce case—can systematically identify, quantify, and mitigate availability risks, leading to continuous, measurable resilience improvements.

AvailabilityFMEARisk analysis

0 likes · 16 min read

Combining FMEA and Chaos Engineering to Improve Software Architecture Availability

DataFunTalk

Jun 19, 2022 · Artificial Intelligence

FMEA Knowledge Graph: Integrating Failure Analysis with AI for Intelligent Manufacturing

This article explains how integrating FMEA with knowledge graph and AI technologies can enhance product quality and reliability across high‑end manufacturing sectors such as semiconductors, automotive, and medical devices, presenting case studies, standards, and a platform built by Daguan Data.

FMEAManufacturingreliability engineering

0 likes · 19 min read

FMEA Knowledge Graph: Integrating Failure Analysis with AI for Intelligent Manufacturing