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ICPC 2022
Mon 16 - Tue 17 May 2022
co-located with ICSE 2022
Mon 16 May 2022 11:24 - 11:31 at ICPC room - Session 7: Debugging 1 Chair(s): Kevin Moran

Identifying and diagnosing performance anomalies is essential for maintaining software quality, yet it can be a complex and time-consuming task. Low level kernel events have been used as an excellent data source to monitor performance, but raw trace data is often too large to easily conduct effective analyses. To address this shortcoming, in this paper, we propose a framework for uncovering performance problems using execution critical path data. A critical path is the longest execution sequence without wait delays, and it can provide valuable insight into a program’s internal and external dependencies. Upon extracting this data, course grained anomaly detection techniques are employed to determine if a finer grained analysis is required. If this is the case, the critical paths of individual executions are grouped together with machine learning clustering to identify different execution types, and outlying anomalies are identified using performance indicators. Finally, multiple sequence alignment is used to pinpoint specific abnormalities in the identified anomalous executions, allowing for improved application performance diagnosis and overall program comprehension.

Mon 16 May

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

11:10 - 12:10
Session 7: Debugging 1Research at ICPC room
Chair(s): Kevin Moran George Mason University
11:10
7m
Talk
Causette: User-Controlled Rearrangement of Causal Constructs in a Code Editor
Research
Alice Martin ENAC - Université de Toulouse, Mathieu Magnaudet ENAC - Université de Toulouse, Stéphane Conversy ENAC - Université de Toulouse
File Attached
11:17
7m
Talk
Error Identification Strategies for Python Jupyter Notebooks
Research
Derek Robinson University of Victoria, Neil Ernst University of Victoria, Enrique Larios Vargas University of Victoria, Margaret-Anne Storey University of Victoria
Media Attached
11:24
7m
Talk
Performance Anomaly Detection through Sequence Alignment of System-Level Traces
Research
Madeline Janecek Brock University, Naser Ezzati Jivan , Wahab Hamou-Lhadj Concordia University, Montreal, Canada
Media Attached
11:31
7m
Talk
QuLog: Data-Driven Approach for Log Instruction Quality Assessment
Research
Jasmin Bogatinovski Technical University Berlin, Sasho  Nedelkoski  TU Berlin, Alexander Acker Technical University Berlin, Jorge Cardoso Huawei Munich Research Center, Odej  Kao Technische UniversitÀt Berlin
Media Attached
11:38
7m
Talk
Fixing Continuous Integration Tests From Within the IDE With Contextual Information
Research
Casper Boone Delft University of Technology, Carolin Brandt Delft University of Technology, Andy Zaidman Delft University of Technology
DOI Pre-print Media Attached
11:45
7m
Talk
Shape-Analysis Driven Memory Graph Visualization
Research
Jan H. Boockmann University of Bamberg, Gerald LĂŒttgen University of Bamberg
Media Attached
11:52
18m
Live Q&A
Q&A-Paper Session 7
Research


Information for Participants
Mon 16 May 2022 11:10 - 12:10 at ICPC room - Session 7: Debugging 1 Chair(s): Kevin Moran
Info for room ICPC room:

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