ACWRecommender: A Tool for Validating Actionable Warnings with Weak Supervision (ASE 2023 - Industry Challenge (Competition) ) - ASE 2023

Mon 11 - Fri 15 September 2023 Kirchberg, Luxembourg

Who

Zhipeng Xue, Zhipeng Gao, Xing Hu, Shanping Li

Track

ASE 2023 Industry Challenge (Competition)

Time Zone

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When

Wed 13 Sep 2023 10:10 - 10:25 at Room FR - Industry Challenge (Competition) Chair(s): Kui Liu

Zhipeng Xue

Zhipeng Gao

Shanghai Institute for Advanced Study of Zhejiang University

China

Xing Hu

Zhejiang University

China

Shanping Li

Time Zone

The program is currently displayed in (GMT+02:00) Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna.

Use conference time zone: (GMT+02:00) Amsterdam, Berlin, Bern, Rome, Stockholm, ViennaSelect 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

Session Program

Wed 13 Sep
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

	10:00 - 10:55	Industry Challenge (Competition)Industry Challenge (Competition) at Room FR Chair(s): Kui Liu Huawei

	10:00 10m Talk		Introduction of the Industry Challenge Track Industry Challenge (Competition) Kui Liu Huawei
	10:10 15m Talk		ACWRecommender: A Tool for Validating Actionable Warnings with Weak Supervision Industry Challenge (Competition) Zhipeng Xue , Zhipeng Gao Shanghai Institute for Advanced Study of Zhejiang University, Xing Hu Zhejiang University, Shanping Li
	10:25 15m Talk		An Automated and Flexible Multilingual Bug-Fix Dataset Construction System Industry Challenge (Competition) Wenkang Zhong Nanjing University, Chuanyi Li Nanjing University, Yunfei Zhang Nanjing University, Ziwen Ge Nanjing University, Jingyu Wang Nanjing University, Jidong Ge Nanjing University, Bin Luo Nanjing University
	10:40 15m Talk		A Closer Look at Different Difficulty Levels Code Generation Abilities of ChatGPT Industry Challenge (Competition) Dapeng Yan , Zhipeng Gao Shanghai Institute for Advanced Study of Zhejiang University, Zhiming Liu Southwest University Pre-print