SEAMS 2023
Mon 15 - Tue 16 May 2023
Melbourne, Australia
co-located with
ICSE 2023
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Mon 15 May
Tue 16 May
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Venue: Melbourne Convention Exhibition Centre | MCEC
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ICSE 2023
(
series
) /
SEAMS 2023
(
series
) /
Melbourne Convention Exhibition Centre | MCEC
/
Room information: Meeting Room 209
Venue
Melbourne Convention Exhibition Centre | MCEC
Room name
Meeting Room 209
Floor
2
Room number
209
Room Information
No extra information available
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Mon 15 May
Displayed time zone:
Hobart
change
11:00 - 12:30
Session 1
DeepTest
at
Meeting Room 209
Deeptest
11:30
10m
Day opening
Opening
DeepTest
11:40
50m
Keynote
Testing Autonomous Driving Systems
DeepTest
Baishakhi Ray
Columbia University
13:45 - 15:15
Session 2
DeepTest
at
Meeting Room 209
13:45
20m
Talk
Metamorphic Testing of Machine Translation Models using Back Translation
DeepTest
Wentao Gao
University of Melbourne
,
Jiayuan He
RMIT University
,
Van-Thuan Pham
Monash University
14:05
20m
Talk
A Method of Identifying Causes of Prediction Errors to Accelerate MLOps
DeepTest
Keita Sakuma
NEC Corporation
,
Ryuta Matsuno
NEC Corporation
,
Yoshio Kameda
NEC Corporation
14:25
20m
Talk
DeepSHAP Summary for Adversarial Example Detection
DeepTest
Yi-Ching Lin
National Chengchi University
,
Fang Yu
National Chengchi University
14:45
20m
Talk
DeepPatch: A Patching-Based Method for Repairing Deep Neural Networks
DeepTest
Hao Bu
Peking University
,
Meng Sun
Peking University
15:45 - 17:15
Session 3
DeepTest
at
Meeting Room 209
15:45
50m
Keynote
Testing Generative Large Language Model: Mission Impossible or Where Lies the Path?
DeepTest
Zhenchang Xing
CSIRO’s Data61; Australian National University
16:35
30m
Panel
Panel
DeepTest
17:05
10m
Day closing
Closing
DeepTest
Mon 15 May
Displayed time zone:
Hobart
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Meeting Room 209
DeepTest
DeepTest
Session 1
DeepTest
Session 2
DeepTest
Session 3
Mon 15 May
Displayed time zone:
Hobart
change
Room
11:00
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Meeting Room 209
DeepTest
Opening
11:30 - 11:40
DeepTest
Testing Autonomous Driving Systems
11:40 - 12:30
DeepTest
Metamorphic Testing of Machine Translation Models using Back Translation
13:45 - 14:05
DeepTest
A Method of Identifying Causes of Prediction Errors to Accelerate MLOps
14:05 - 14:25
DeepTest
DeepSHAP Summary for Adversarial Example Detection
14:25 - 14:45
DeepTest
DeepPatch: A Patching-Based Method for Repairing Deep Neural Networks
14:45 - 15:05
DeepTest
Testing Generative Large Language Model: Mission Impossible or Where Li ...
15:45 - 16:35
DeepTest
Panel
16:35 - 17:05
DeepTest
Closing
17:05 - 17:15
x
Thu 21 Nov 13:16