Memory leak detection run
Why it matters
Memory leaks in browser applications compound silently over a user session. A useEffect that registers a resize listener without a cleanup function adds a listener on every re-render; after 50 renders, 50 listeners are firing simultaneously. ISO 25010:2011 resource-utilisation frames the waste; the user-visible outcome is an application that slows, stutters, or crashes after extended use — worst for users who keep tabs open for hours, such as internal tooling users or power users of dashboards.
Severity rationale
High because undetected memory leaks degrade performance progressively throughout a user session, causing crashes or forced page reloads that interrupt workflows in ways that are difficult to trace without explicit profiling.
Remediation
Profile heap usage in Chrome DevTools (Memory tab → Take heap snapshot before and after navigating key flows). For every useEffect that subscribes to an event or starts an interval, return a cleanup function.
// components/realtime-widget.tsx
useEffect(() => {
const handler = (e: MessageEvent) => handleUpdate(e.data)
socket.addEventListener('message', handler)
return () => socket.removeEventListener('message', handler) // cleanup required
}, [])
DetectionPro
The detection method for this pattern is part of AuditBuffet Pro.
The full method (what to look for, pass and fail conditions, and how results get reported) ships inside the Performance Deep Dive Audit. The pattern definition, severity rationale, and remediation remain openly licensed under CC-BY-4.0.
External references
- iso-25010:2011 · performance-efficiency.resource-utilization — Resource Utilisation (performance efficiency)
Taxons
History
- 2026-04-18·v1.0.0·Initial import from performance-deep-dive·automated