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ICST 2021
(
series
) /
Research Papers
/
A Search-Based Testing Framework for Deep Neural Networks of Source Code Embedding
Who
Maryam Vahdat Pour
,
Zhuo Li
,
Lei Ma
,
Hadi Hemmati
Track
ICST 2021 Research Papers
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When
Tue 13 Apr 2021 13:30 - 14:00 at
Porto de Galinhas
-
Testing and Learning
Chair(s):
Andrea Stocco
Link to Preprint
https://arxiv.org/pdf/2101.07910.pdf
Maryam Vahdat Pour
Zhuo Li
Lei Ma
University of Alberta
Canada
Hadi Hemmati
University of Calgary
Canada
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By setting a time band, the program will dim events that are outside this time window. This is useful for (virtual) conferences with a continuous program (with repeated sessions).
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Session Program
Tue 13 Apr
Displayed time zone:
Brasilia, Distrito Federal, Brazil
change
13:00 - 14:30
Testing and Learning
Research Papers
at
Porto de Galinhas
Chair(s):
Andrea Stocco
Università della Svizzera italiana (USI)
13:00
30m
Paper
Fail-Safe Execution of Deep Learning based Systems through Uncertainty Monitoring
Research Papers
Michael Weiss
Università della Svizzera Italiana (USI)
,
Paolo Tonella
USI Lugano, Switzerland
Pre-print
13:30
30m
Paper
A Search-Based Testing Framework for Deep Neural Networks of Source Code Embedding
Research Papers
Maryam Vahdat Pour
,
Zhuo Li
,
Lei Ma
University of Alberta
,
Hadi Hemmati
University of Calgary
Pre-print
14:00
30m
Paper
Learning-Based Fuzzing of IoT Message Brokers
Research Papers
Bernhard Aichernig
Graz University of Technology
,
Edi Muskardin
,
Andrea Pferscher
Institute of Software Technology, Graz University of Technology
Pre-print
Media Attached
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Thu 21 Nov 12:00