Internetware 2026
Sat 18 - Mon 20 July 2026 Gold Coast, Australia

Root cause analysis (RCA) in DevOps systems is difficult because user-visible failures are often downstream symptoms of longer workflows. The actual fault may occur during event generation, forwarding, permission checking, scheduling, artifact synchronization, or event consumption. Methods based on global log analysis, anomaly detection, or unconstrained semantic reasoning therefore miss workflow-stage constraints and explicit evidence checks. This paper presents WERCA, a DevOps RCA framework guided by an expert-maintained Workflow/DAG repository. Given a failure ticket, WERCA selects a likely execution path, retrieves logs only from nodes on that path, and checks each stage against its responsibility. A candidate root cause is retained only when supported by log evidence, workflow position, and stage semantics. When later evidence contradicts the current path, WERCA rolls back and revises the diagnosis. Historical incidents provide retrieval-based priors for ranking, confidence estimation, and remediation generation. Our experimental results on real cases from DevOps systems show that WERCA can improve the ranking results compared with the baseline using only logs, despite a slight increase in time overhead. The results also indicate that Workflow/DAG can guide the RCA process of DevOps systems by tracing concrete execution paths for failure as evidence reasoning.

Sun 19 Jul

Displayed time zone: Brisbane change

11:40 - 12:40
Session 8: Software Maintenance, Repair, and DevOpsResearch Track / New Idea at Promenade
Chair(s): Kaifeng Huang Tongji University
11:40
15m
Talk
Fixing Atomicity Violations via Task-driven Dynamic Code Abstraction and Repair
Research Track
Yuxuan Li Peking University, Bing Xie Peking University
11:55
15m
Talk
LLMs as Continuous Learners: Improving Software Issue Reproduction by Distilling Experiences
Research Track
Yalan Lin Shanghai Jiao Tong University, Silin Chen Shanghai Jiao Tong University, Yingwei Ma Tongyi Lab, Alibaba, Rongyu Cao Tongyi Lab, Alibaba, China, Binhua Li Tongyi Lab, Alibaba, China, Fei Huang Tongyi Lab, Alibaba, China, Xiaodong Gu Shanghai Jiao Tong University, Yongbin Li Tongyi Lab, Alibaba, China
12:10
10m
Talk
When Should Dependency Updates Invoke Repair Agents? A Lightweight Routing Study
New Idea
Liheng Fan China Academy of Telecommunication Technology, Jialun Yin School of Vehicle and Mobility, Tsinghua University, Yuzhi Chen Intelligent Transportation System Research Center, Southeast University
12:20
10m
Talk
WERCA: Workflow-guided and Evidence-constrained Root Cause Analysis for DevOps Systems
New Idea
yi zhang , Yonghang Wu Beijing XingYun Digital Technology Co., Ltd, Xin Ma Beijing XingYun Digital Technology Co., Ltd, Xinhang Yin Beijing XingYun Digital Technology Co., Ltd, Bing Han Beijing XingYun Digital Technology Co., Ltd, Yijian Zheng Xidian University, Chenxi Zhang Xidian University, Di Cui Xidian University
12:30
10m
Talk
Rethinking Agent Memory for Routine Code Fixes: MarkovFix Beats Frontier Agents on Deployable LLM
New Idea
Zhiqing Zhong The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Jonathan Kristian Tjandra The Chinese University of Hong Kong, Shenzhen, Feivel Ehren Hermanto The Chinese University of Hong Kong, Shenzhen, Ruizhe Ye Huawei Cloud Computing Technologies Co., Ltd., Jingyuan Tan Huawei Cloud Computing Technologies Co., Ltd., Yuechan Hao Huawei Cloud Computing Technologies Co., Ltd., Yuchi Ma Huawei Cloud Computing Technologies, Pinjia He Chinese University of Hong Kong, Shenzhen