Effective Recommendation of Cross-Project Correlated Issues based on Issue Metrics (Internetware 2023 - Main Track) - Internetware 2023

Fri 4 - Sun 6 August 2023 Hangzhou, China

Who

Hao Ren, Mingliang Ma, Xiaowei Zhang, Yulu Cao, Changhai Nie, Yanhui Li

Track

Internetware 2023 Main Track

Time Zone

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When

Sat 5 Aug 2023 14:55 - 15:10 at Main Conference Room - Session 2: Debugging & Bug Management

Hao Ren

Department of Computer Science and Technology, Nanjing University

Mingliang Ma

Xiaowei Zhang

Yulu Cao

Changhai Nie

Nanjing University

Yanhui Li

Nanjing University

China

Time Zone

The program is currently displayed in (GMT+08:00) Beijing, Chongqing, Hong Kong, Urumqi.

Use conference time zone: (GMT+08:00) Beijing, Chongqing, Hong Kong, UrumqiSelect 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

Sat 5 Aug
Displayed time zone: Beijing, Chongqing, Hong Kong, Urumqi change

	14:40 - 15:50	Session 2: Debugging & Bug ManagementMain Track at Main Conference Room

	14:40 15m Research paper		SupConFL: Fault Localization with Supervised Contrastive Learning Main Track Wei Chen Southwest University, Wu Chen Southwest University, Jiamou Liu The University of Auckland, Kaiqi Zhao The University of Auckland, Mingyue Zhang Southwest University
	14:55 15m Research paper		Effective Recommendation of Cross-Project Correlated Issues based on Issue Metrics Main Track Hao Ren Department of Computer Science and Technology, Nanjing University, Mingliang Ma , Xiaowei Zhang , Yulu Cao , Changhai Nie Nanjing University, Yanhui Li Nanjing University
	15:10 15m Research paper		The Impact of the Bug Number on Effort-Aware Defect Prediction: An Empirical Study Main Track Peixin Yang , Lin Zhu , Wenhua Hu , Jacky Keung City University of Hong Kong, Liping Lu , Jianwen Xiang
	15:25 15m Research paper		Can Neural Networks Help Smart Contract Testing? An Empirical Study Main Track Jiadong Wu School of Software Engineering, Sun Yat-sen University, Yanlin Wang Sun Yat-sen University, Ruixin Wang Purdue University, Jiachi Chen Sun Yat-sen University, Zibin Zheng Sun Yat-sen University