Write a Blog >>
ICSE 2022
Sun 8 - Fri 27 May 2022
Mon 9 May 2022 20:10 - 20:15 at ICSE room 3-even hours - Reliability and Safety 3 Chair(s): Antonio Filieri
Tue 10 May 2022 04:10 - 04:15 at ICSE room 1-even hours - Reliability and Safety 1 Chair(s): Cristian Cadar

A microservice system in industry is usually a large-scale distributed system consisting of dozens to thousands of services running in different machines. An anomaly of the system often can be reflected in traces and logs, which record inter-service interactions and intra-service behaviors respectively. Existing trace anomaly detection approaches treat a trace as a sequence of service invocations. They ignore the complex structure of a trace brought by its invocation hierarchy and parallel/asynchronous invocations. On the other hand, existing log anomaly detection approaches treat a log as a sequence of events and cannot handle microservice logs that are distributed in a large number of services with complex interactions. In this paper, we propose DeepTraLog, a deep learning based microservice anomaly detection approach. DeepTraLog uses a unified graph representation to describe the complex structure of a trace together with log events embedded in the structure. Based on the graph representation, DeepTraLog trains a GGNNs based deep SVDD model by combing traces and logs and detects anomalies in new traces and the corresponding logs. Evaluation on a microservice benchmark shows that DeepTraLog achieves a high precision (0.93) and recall (0.97), outperforming state-of-the-art trace/log anomaly detection approaches with an average increase of 0.37 in F1-score. It also validates the efficiency of DeepTraLog, the contribution of the unified graph representation, and the impact of the configurations of some key parameters.

Mon 9 May

Displayed time zone: Eastern Time (US & Canada) change

20:00 - 21:00
Reliability and Safety 3Technical Track at ICSE room 3-even hours
Chair(s): Antonio Filieri Imperial College London
20:00
5m
Talk
Promal: Precise Window Transition Graphs for Android via Synergy of Program Analysis and Machine Learning
Technical Track
Changlin Liu Case Western Reserve University, Hanlin Wang Case Western Reserve University, Tianming Liu Monash Univerisity, Diandian Gu Peking University, Yun Ma Peking University, Haoyu Wang Huazhong University of Science and Technology, China, Xusheng Xiao Case Western Reserve University
DOI Pre-print Media Attached
20:05
5m
Talk
EAGLE: Creating Equivalent Graphs to Test Deep Learning Libraries
Technical Track
Jiannan Wang Purdue University, Thibaud Lutellier University of Waterloo, Shangshu Qian Purdue University, Viet Hung Pham University of Waterloo, Lin Tan Purdue University
Pre-print Media Attached
20:10
5m
Talk
DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning
Technical Track
Chenxi Zhang Fudan University, Xin Peng Fudan University, Chaofeng Sha Fudan University, Ke Zhang Fudan University, Zhenqing Fu Fudan University, Xiya Wu Fudan University, Qingwei Lin Microsoft Research, Dongmei Zhang Microsoft Research
Pre-print Media Attached
20:15
5m
Talk
Repairing Brain-Computer Interfaces with Fault-based Data Acquisition
Technical Track
Cailin Winston University of Washington, Caleb Winston University of Washington, Chloe N Winston University of Washington, Claris Winston University of Washington, Cleah Winston , Rajesh PN Rao University of Washington, René Just University of Washington
Pre-print Media Attached
20:20
5m
Talk
PReach: A Heuristic for Probabilistic Reachability to Identify Hard to Reach Statements
Technical Track
Seemanta Saha University of California Santa Barbara, Mara Downing University of California, Santa Barbara, Tegan Brennan , Tevfik Bultan University of California, Santa Barbara
Pre-print Media Attached

Tue 10 May

Displayed time zone: Eastern Time (US & Canada) change

04:00 - 05:00
Reliability and Safety 1Technical Track / SEIP - Software Engineering in Practice at ICSE room 1-even hours
Chair(s): Cristian Cadar Imperial College London, UK
04:00
5m
Talk
Automatically Identifying Shared Root Causes of Test Breakages in SAP HANA
SEIP - Software Engineering in Practice
Gabin An KAIST, Juyeon Yoon Korea Advanced Institute of Science and Technology, Jeongju Sohn University of Luxembourg, Jingun Hong SAP Labs, Dongwon Hwang SAP Labs, Shin Yoo KAIST
Pre-print Media Attached
04:05
5m
Talk
Record and Replay of Online Traffic for Microservices with Automatic Mocking Point Identification
SEIP - Software Engineering in Practice
Jiangchao Liu Ant Group, Jierui Liu Ant Group, Peng Di Ant Group, Alex X. Liu Ant Group, Zexin Zhong Ant Group; University of Technology Sydney
Pre-print Media Attached
04:10
5m
Talk
DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning
Technical Track
Chenxi Zhang Fudan University, Xin Peng Fudan University, Chaofeng Sha Fudan University, Ke Zhang Fudan University, Zhenqing Fu Fudan University, Xiya Wu Fudan University, Qingwei Lin Microsoft Research, Dongmei Zhang Microsoft Research
Pre-print Media Attached
04:15
5m
Talk
Decomposing Software Verification into Off-the-Shelf Components: An Application to CEGAR
Technical Track
Dirk Beyer LMU Munich, Germany, Jan Haltermann University of Oldenburg, Thomas Lemberger LMU Munich, Heike Wehrheim Carl von Ossietzky Universität Oldenburg / University of Oldenburg
Pre-print Media Attached
04:20
5m
Talk
Precise Divide-By-Zero Detection with Affirmative Evidence
Technical Track
Yiyuan Guo The Hong Kong University of Science and Technology, Ant Group, Jinguo Zhou Ant Group, Peisen Yao The Hong Kong University of Science and Technology, Qingkai Shi Ant Group, Charles Zhang Hong Kong University of Science and Technology
DOI Pre-print Media Attached
04:25
5m
Talk
Repairing Brain-Computer Interfaces with Fault-based Data Acquisition
Technical Track
Cailin Winston University of Washington, Caleb Winston University of Washington, Chloe N Winston University of Washington, Claris Winston University of Washington, Cleah Winston , Rajesh PN Rao University of Washington, René Just University of Washington
Pre-print Media Attached
Hide past events

Information for Participants
Mon 9 May 2022 20:00 - 21:00 at ICSE room 3-even hours - Reliability and Safety 3 Chair(s): Antonio Filieri
Info for room ICSE room 3-even hours:

Click here to go to the room on Midspace

Tue 10 May 2022 04:00 - 05:00 at ICSE room 1-even hours - Reliability and Safety 1 Chair(s): Cristian Cadar
Info for room ICSE room 1-even hours:

Click here to go to the room on Midspace