ROMJIST Volume 29, No. 1, 2026, pp. 29-40, DOI: 10.59277/ROMJIST.2026.1.03
Xun LI, Fan ZHANG, Yingying WANG, Xiaoxin QI, Jinling LIU, Song LI An Approach for Considering Human Factors in Root Cause Analysis of Network Systems
ABSTRACT: Root cause analysis (RCA) has the capability to uncover the underlying reasons for anomalies and offers robust support for network systems recovery. However, one of the most significant challenges in RCA is the difficulty in capturing and analyzing the fine-grained human factors that trigger anomalies. To address this issue, this paper presents an approach for correlating fine-grained events with key performance indicators (KPIs). Specifically, in this approach, captured function events, treated as fine-grained human factors, are analyzed with modified Petri Nets to determine the root cause of anomalies. The experimental results demonstrate that the proposed approach is highly effective in tracing fine-grained human factors during RCA. Moreover, the F1-score in anomaly recognition can reach approximately 0.79.KEYWORDS: Anomaly KPIs; fine-grained human factors; function event; root cause analysisRead full text (pdf)