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ICSE 2022
Sun 8 - Fri 27 May 2022
Thu 12 May 2022 05:15 - 05:20 at ICSE room 1-odd hours - Evolution and Maintenance 1 Chair(s): Massimiliano Di Penta
Thu 12 May 2022 21:15 - 21:20 at ICSE room 1-odd hours - Evolution and Maintenance 3 Chair(s): Mohamed Wiem Mkaouer

Alerts, which record details about system failures, are crucial data for monitoring a online service system. Due to the complex correlation between system components, a system failure usually triggers a large number of alerts, making the traditional manual handling of alerts insufficient. Thus, automatically summarizing alerts is a problem demanding prompt solution. This paper tackles this challenge through a novel approach based on supervised learning. The proposed approach, OAS (Online Alert Summarizing), first learns two types of information from alerts, semantic information and behavior information, respectively. Then, OAS adopts a specific deep learning model to aggregate semantic and behavior representations of alerts and thus determines the correlation between alerts. OAS is able to summarize the newly reported alert online. Extensive experiments, which are conducted on real alert datasets from two large commercial banks, demonstrate the efficiency and the effectiveness of OAS.

Thu 12 May

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05:00 - 06:00
Evolution and Maintenance 1Technical Track / Journal-First Papers / NIER - New Ideas and Emerging Results at ICSE room 1-odd hours
Chair(s): Massimiliano Di Penta University of Sannio, Italy
05:00
5m
Talk
Self-Admitted Technical Debt Practices: A Comparison Between Industry and Open-Source
Journal-First Papers
Fiorella Zampetti University of Sannio, Italy, Gianmarco Fucci University of Sannio, Alexander Serebrenik Eindhoven University of Technology, Massimiliano Di Penta University of Sannio, Italy
Link to publication DOI Pre-print Media Attached
05:05
5m
Talk
BreakBot: Analyzing the Impact of Breaking Changes to Assist Library EvolutionNIER-track Award
NIER - New Ideas and Emerging Results
Lina Ochoa Eindhoven University of Technology, Thomas Degueule CNRS, LaBRI, Jean-Rémy Falleri Univ. Bordeaux, Bordeaux INP, CNRS, LaBRI. Institut Universitaire de France.
Pre-print Media Attached
05:10
5m
Talk
Knowledge-Based Environment Dependency Inference for Python Programs
Technical Track
Hongjie Ye Institute of Software, Chinese Academy of Sciences, Wei Chen Institute of Software at Chinese Academy of Sciences, China, Wensheng Dou Institute of Software at Chinese Academy of Sciences; University of Chinese Academy of Sciences, Guoquan Wu Institute of Software at Chinese Academy of Sciences, China, Jun Wei Institute of Software at Chinese Academy of Sciences; University of Chinese Academy of Sciences
Pre-print Media Attached
05:15
5m
Talk
Online Summarizing Alerts through Semantic and Behavior Information
Technical Track
ChenJ , Peng Wang Fudan University, Wei Wang Fudan University
DOI Pre-print Media Attached
05:20
5m
Talk
Using Reinforcement Learning for Load Testing of Video Games
Technical Track
Rosalia Tufano Università della Svizzera Italiana, Simone Scalabrino University of Molise, Luca Pascarella Università della Svizzera italiana (USI), Emad Aghajani Software Institute, USI Università della Svizzera italiana, Rocco Oliveto University of Molise, Gabriele Bavota Software Institute, USI Università della Svizzera italiana
Pre-print Media Attached
21:00 - 22:00
Evolution and Maintenance 3Technical Track / SEIS - Software Engineering in Society at ICSE room 1-odd hours
Chair(s): Mohamed Wiem Mkaouer Rochester Institute of Technology
21:00
5m
Talk
Why Do Projects Join the Apache Software Foundation?
SEIS - Software Engineering in Society
Nan Yang Eindhoven University of Technology, The Netherlands, Isabella Ferreira Polytechnique Montréal, Alexander Serebrenik Eindhoven University of Technology, Bram Adams Queen's University, Kingston, Ontario
Pre-print Media Attached
21:05
5m
Talk
DrAsync: Identifying and Visualizing Anti-Patterns in Asynchronous JavaScriptBest Artifact Award
Technical Track
Alexi Turcotte Northeastern University, Michael D. Shah Northeastern University, USA, Mark W. Aldrich Tufts University, Frank Tip Northeastern University
Pre-print Media Attached
21:10
5m
Talk
Knowledge-Based Environment Dependency Inference for Python Programs
Technical Track
Hongjie Ye Institute of Software, Chinese Academy of Sciences, Wei Chen Institute of Software at Chinese Academy of Sciences, China, Wensheng Dou Institute of Software at Chinese Academy of Sciences; University of Chinese Academy of Sciences, Guoquan Wu Institute of Software at Chinese Academy of Sciences, China, Jun Wei Institute of Software at Chinese Academy of Sciences; University of Chinese Academy of Sciences
Pre-print Media Attached
21:15
5m
Talk
Online Summarizing Alerts through Semantic and Behavior Information
Technical Track
ChenJ , Peng Wang Fudan University, Wei Wang Fudan University
DOI Pre-print Media Attached

Information for Participants
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