An Empirical Study on Fault Diagnosisa in Robotic Systems (ICSME 2023 - Research Track)

Sun 1 - Fri 6 October 2023 Bogotá, Colombia

Who

Xuezhi Song, Yi Li, Zhen Dong, Shuning Liu, Junming Cao, Xin Peng

Track

ICSME 2023 Research Track

Time Zone

The program is currently displayed in (GMT-05:00) Bogota, Lima, Quito, Rio Branco.

Use conference time zone: (GMT-05:00) Bogota, Lima, Quito, Rio BrancoSelect other time zone

The GMT offsets shown reflect the offsets at the moment of the conference.

Time Band

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).
The time band will also limit the events that are included in the personal iCalendar subscription service.

Display full programSpecify a time band

Save

When

Thu 5 Oct 2023 15:30 - 15:46 at Session 1 Room - RGD 004 - Software Faults Chair(s): Masud Rahman, Ashkan Sami

Xuezhi Song

Fudan University

China

Yi Li

Zhen Dong

Fudan University, China

China

Shuning Liu

Fudan University

China

Junming Cao

Fudan University

China

Xin Peng

Fudan University

China

Time Zone

The program is currently displayed in (GMT-05:00) Bogota, Lima, Quito, Rio Branco.

Use conference time zone: (GMT-05:00) Bogota, Lima, Quito, Rio BrancoSelect other time zone

The GMT offsets shown reflect the offsets at the moment of the conference.

Time Band

Display full programSpecify a time band

Save

Session Program

Thu 5 Oct
Displayed time zone: Bogota, Lima, Quito, Rio Branco change

15:30 - 17:00	Software FaultsIndustry Track / Research Track / Journal First Track at Session 1 Room - RGD 004 Chair(s): Masud Rahman Dalhousie University, Ashkan Sami Edinburgh Napier University

15:30 16m Talk		An Empirical Study on Fault Diagnosisa in Robotic Systems Research Track Xuezhi Song Fudan University, Yi Li , Zhen Dong Fudan University, China, Shuning Liu Fudan University, Junming Cao Fudan University, Xin Peng Fudan University
15:46 16m Talk		Predicting Defective Visual Code Changes in a Multi-Language AAA Video Game Project Industry Track Kalvin Eng Electronic Arts, Abram Hindle University of Alberta, Alexander Senchenko Electronic Arts Pre-print
16:02 16m Talk		An annotation-based approach for finding bugs in neural network programs Journal First Track Mohammad Rezaalipour Software Institute @ USI, Carlo A. Furia Università della Svizzera italiana (USI)
16:18 11m Talk		Evaluation of Cross-Lingual Bug Localization: Two Industrial Cases Industry Track Shinpei Hayashi Tokyo Institute of Technology, Takashi Kobayashi Tokyo Institute of Technology, Tadahisa Kato Hitachi, Ltd. DOI Pre-print
16:29 16m Talk		An Empirical Study on Bugs Inside PyTorch: A Replication Study Research Track Sharon Chee Yin Ho Concordia University, Vahid Majdinasab Polytechnique Montréal, Mohayeminul Islam University of Alberta, Diego Costa Concordia University, Canada, Emad Shihab Concordia Univeristy, Foutse Khomh Polytechnique Montréal, Sarah Nadi University of Alberta, Muhammad Raza Queen's University
16:45 15m Live Q&A		1:1 Q&A Research Track