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ESEC/FSE 2022
Mon 14 - Fri 18 November 2022 Singapore
Tue 15 Nov 2022 14:00 - 14:15 at SRC LT 51 - Debugging/localization Chair(s): Mauro Pezze

For a cloud service provider, the goal is to proactively identify
signals that can help reduce outages and/or reduce the mean-time-to-detect and mean-time-to-resolve. After an incident is reported, the Site Reliability Engineers diagnose the fault and search for a resolution by formulating a textual query to find similar historical incidents - this approach is called text-based retrieval. However, it has been observed that the formulated queries are inadequate and short. An alternate approach, presented in this paper, integrates information spread across heterogeneous and siloed datasets, as a ready-to-use knowledge base for metadata-based resolution retrieval. Additionally, it exploits historical problem context for building metadata prediction models which are used at run-time for automatically formulating queries from log anomalies detected by the Log Anomaly Detection module. The query, thus formed, is run against the metadata-based index, unlike the text-based index in text retrieval, resulting in superior performance, in terms of relevancy of the resolution documents retrieved. Through experiments on web application server applications deployed on the cloud, we show the efficacy of metadata-based retrieval, which not only returns targeted results as compared to text-based retrieval but also the relevant resolution document appear amongst the top 3 positions for 60% of the queries.

Tue 15 Nov

Displayed time zone: Beijing, Chongqing, Hong Kong, Urumqi change

14:00 - 15:30
Debugging/localizationResearch Papers / Industry Paper / Demonstrations / Ideas, Visions and Reflections at SRC LT 51
Chair(s): Mauro Pezze USI Lugano; Schaffhausen Institute of Technology
14:00
15m
Talk
Metadata-Based Retrieval for Resolution Recommendation in AIOps
Industry Paper
Harshit Kumar IBM Research, Ruchi Mahindru IBM Research, Debanjana Kar IBM Research
DOI
14:15
15m
Talk
PaReco: Patched Clones and Missed Patches among the Divergent Variants of a Software Family
Research Papers
Poedjadevie Kadjel Ramkisoen University of Antwerp; Flanders Make, John Businge University of Antwerp; Flanders Make; University of Nevada at Las Vegas, Brent van Bladel University of Antwerp; Flanders Make, Alexandre Decan University of Mons; F.R.S.-FNRS, Serge Demeyer University of Antwerp; Flanders Make, Coen De Roover Vrije Universiteit Brussel, Foutse Khomh Polytechnique Montréal
DOI
14:30
15m
Talk
Fault Localization to Detect Co-change Fixing Locations
Research Papers
Yi Li New Jersey Institute of Technology, Shaohua Wang New Jersey Institute of Technology, Tien N. Nguyen University of Texas at Dallas
DOI
14:45
15m
Talk
Reflections on Software Failure Analysis
Ideas, Visions and Reflections
Paschal Amusuo Purdue University, Aishwarya Sharma Purdue University, Siddharth R. Rao Purdue University, Abbey Vincent Purdue University, James C. Davis Purdue University
DOI
15:00
7m
Talk
eGEN: An Energy-saving Modeling Language and Code Generator for Location-sensing of Mobile Apps
Demonstrations
Kowndinya Boyalakuntla Indian Institute of Technology Tirupati, Marimuthu Chinnakali National Institute of Technology Karnataka, Sridhar Chimalakonda IIT Tirupati, K. Chandrasekaran National Institute of Technology Karnataka
15:08
7m
Talk
SFLKit: A Workbench for Statistical Fault Localization
Demonstrations
Marius Smytzek CISPA Helmholtz Center for Information Security, Andreas Zeller CISPA Helmholtz Center for Information Security
Pre-print