ChangeLocator: Locate Crash-Inducing Changes Based on Crash Reports (* ICSE 2018 * - Journal first papers)

Who

Rongxin Wu, Ming Wen, Shing-Chi Cheung, Hongyu Zhang

Track

* ICSE 2018 * Journal first papers

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When

Thu 31 May 2018 14:00 - 14:20 at Congress Hall - Testing I Chair(s): Antonia Bertolino

Rongxin Wu

Department of Computer Science and Engineering, The Hong Kong University of Science and Technology

China

Ming Wen

The Hong Kong University of Science and Technology

China

Shing-Chi Cheung

Department of Computer Science and Engineering, The Hong Kong University of Science and Technology

China

Hongyu Zhang

The University of Newcastle

Australia

Time Zone

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Session Program

Thu 31 May
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

14:00 - 15:30	Testing IJournal first papers / Technical Papers at Congress Hall Chair(s): Antonia Bertolino CNR-ISTI

14:00 20m Talk		ChangeLocator: Locate Crash-Inducing Changes Based on Crash Reports Journal first papers Rongxin Wu Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Ming Wen The Hong Kong University of Science and Technology, Shing-Chi Cheung Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hongyu Zhang The University of Newcastle
14:20 20m Talk		Are Mutation Scores Correlated with Real Fault Detection? A Large Scale Empirical study on the Relationship Between Mutants and Real Faults Technical Papers Mike Papadakis University of Luxembourg, Donghwan Shin KAIST, Shin Yoo Korea Advanced Institute of Science and Technology, Doo-Hwan Bae Korea Advanced Institute of Science and Technology Pre-print
14:40 20m Talk		Efficient Sampling of SAT Solutions for Testing Technical Papers Rafael Dutra UC Berkeley, Kevin Laeufer University of California, Berkeley, Jonathan Bachrach , Koushik Sen University of California, Berkeley Link to publication DOI Media Attached File Attached
15:00 20m Talk		Are Fix-Inducing Changes a Moving Target? A Longitudinal Case Study of Just-In-Time Defect Prediction Journal first papers Shane McIntosh McGill University, Yasutaka Kamei Kyushu University Pre-print
15:20 10m Talk		Q&A in groups Technical Papers