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Case Study #248 — 300 Software Failure Case Studies

UK NHS COVID-19 contact-tracing app failure

The UK government scrapped its original centralized COVID-19 contact-tracing app after spending an estimated £12 million, having found it did not reliably work.

2020
When it happened
Government / Healthcare
Sector
#248 of 300
Ranked by documented impact
01 — What Happened

The damage was public. The root cause was preventable.

The UK government scrapped its original centralized COVID-19 contact-tracing app after spending an estimated £12 million, having found it did not reliably work.

Government
Sector affected
2020
Date of the event
#248
Rank in the 300 Software Failure Case Studies
2
Distinct root-cause clauses identified below
02 — The Root Cause

What the software actually got wrong

The app's design needed continuous Bluetooth scanning in the background to detect nearby phones, but Apple's iOS deliberately restricts this kind of background Bluetooth activity for privacy and battery reasons, and the app's software could not reliably work around that restriction, forcing the UK to switch to the decentralized Apple/Google exposure-notification framework instead.

01Root Cause

The app's design needed continuous Bluetooth scanning in the...

What Happened

The app's design needed continuous Bluetooth scanning in the background to detect nearby phones, but Apple's iOS deliberately restricts this kind of background Bluetooth activity for privacy and battery reasons

How Requs AI Catches This

Requs AI Edge Case flags this exact pattern at the requirements and architecture stage — before a single line of code implementing it exists — so the assumption behind it gets challenged while it is still cheap to fix.

02Root Cause

The app's software could not reliably work around that...

What Happened

the app's software could not reliably work around that restriction, forcing the UK to switch to the decentralized Apple/Google exposure-notification framework instead

How Requs AI Catches This

Requs AI Software FMEA traces this failure mode back to the system-level hazard it feeds, tagging it against the Common Defect Enumeration so it surfaces in review instead of in the field.

03 — How This Gets Caught Before It Happens

Beyond code coverage and "shall" testing

Root causes like this one rarely show up in code coverage or requirements-compliance testing, because nobody wrote a requirement anticipating the specific edge case that broke. Requs AI Edge Case and Requs AI Software FMEA are built to surface exactly this class of overlooked failure mode — before the software is written.

Requs AI Edge Case

Surfaces this before code exists

Identifies edge cases like this one at requirements and architecture time, using the Common Defect Enumeration to catalog failure patterns seen across hundreds of real-world software failures — including this one.

Requs AI Software FMEA

Connects the failure mode to the hazard

Traces this class of root cause directly to the system-level hazard it can produce, so a defect pattern like this one gets flagged during design review instead of after it ships.

Find the overlooked root causes before they ship.

Schedule a demonstration, or explore how Requs AI Edge Case and Software FMEA use the Common Defect Enumeration.