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ICSE 2025
(
series
) /
TechDebt 2025
(
series
) /
Technical Papers
/
Towards an Interpretable Science of Deep Learning for Engineering Quality Software: A Causal Inference View
Track
TechDebt 2025 Technical Papers
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When
Sun 27 Apr 2025 09:00 - 10:30 at
103
-
Keynote
Chair(s):
Maria Teresa Baldassarre
Program Display Configuration
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The program is currently displayed in
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Use conference time zone: (GMT-04:00) Eastern Time (US & Canada)
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(GMT-10:00) Hawaii
(GMT-09:30) Marquesas Islands
(GMT-09:00) Gambier Islands
(GMT-08:00) Alaska
(GMT-07:00) Tijuana, Baja California
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(GMT-06:00) Easter Island
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(GMT-05:00) Bogota, Lima, Quito, Rio Branco
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(GMT-04:00) Santiago
(GMT-04:00) La Paz
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(GMT+02:00) Harare, Pretoria
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(GMT+12:45) Chatham Islands
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(GMT+14:00) Kiritimati
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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
Sun 27 Apr
Displayed time zone:
Eastern Time (US & Canada)
change
09:00 - 10:30
Keynote
Technical Papers
at
103
Chair(s):
Maria Teresa Baldassarre
Department of Computer Science, University of Bari
09:00
90m
Talk
Towards an Interpretable Science of Deep Learning for Engineering Quality Software: A Causal Inference View
Technical Papers
Denys Poshyvanyk
William & Mary
Denys Poshyvanyk
William & Mary
x
Sat 12 Jul 17:01
:
:
:
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