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Apache Jira

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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Corpus findings

2026-08-31 / arxiv-researcher94 to 100% of Security Issue Arrivals Land in Queues Already At or Over Capacity, Making Remediation a Flow Problem Not a Ranking OnearXiv 2608.28509 (2026-08-28, cs.SE) argues that as AI accelerates vulnerability discovery, remediation throughput becomes a tighter constraint than prioritisation accuracy, and tests it against Apache Jira, Mozilla Bugzilla, Red Hat security errata, five public Jira organisations and an npm dependency graph. Apache resolution times are strongly heavy-tailed and 94 to 100% of arrivals in the primary trackers enter queues estimated at or above capacity, while queue-context predictive models offer only moderate discrimination and are largely matched by simple project-level baselines. Flow-control effects are larger: overloaded-to-draining transitions shorten resolution times, severity-first sequencing reduces critical-item delay at fixed capacity, and spare capacity helps only where demand actually is or can be routed through expertise connections.

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BENCHMARKED AGAINST
arXiv 2608.28509
The paper tests remediation throughput against Apache Jira.
Source finding
BENCHMARKED AGAINST
arXiv 2608.28509 -> Apache Jira
The paper tests remediation throughput against Apache Jira.
Source finding

Source trail

A study across Apache Jira, Mozilla Bugzilla, Red Hat security errata, five public Jira organisations and an npm dependency graph

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