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ICPC 2020
Mon 13 - Wed 15 July 2020
co-located with ICSE 2020
Tue 14 Jul 2020 07:30 - 07:45 at ICPC - Session 5: For Researchers Chair(s): Bin Lin

The accurate identification of defect-inducing commits represents a key problem for researchers interested in studying the naturalness of defects and defining defect prediction models. To tackle this problem, software engineering researchers have relied on and proposed several implementations of the well-known SliwerskiZimmermann-Zeller (SZZ) algorithm. Despite its popularity and wide usage, no open-source, publicly available, and web-accessible implementation of the algorithm has been proposed so far. In this paper, we prototype and make available one such implementation for further use by practitioners and researchers alike. The evaluation of the proposed prototype showed competitive results and lays the foundation for future work. This paper outlines our prototype, illustrating its usage and reporting on its evaluation in action.

Tue 14 Jul
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07:00 - 08:00: Research - Session 5: For Researchers at ICPC
Chair(s): Bin LinUniversità della Svizzera italiana (USI)
icpc-2020-research07:00 - 07:15
Thazin Win Win AungUniversity of Technology Sydney, Yulei SuiUniversity of Technology Sydney, Australia, Huan HuoUniversity of Technology Sydney
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icpc-2020-research07:15 - 07:30
Jianhang ShuaiSchool of Big Data & Software Engineering, Chongqing University, Ling XuSchool of Big Data & Software Engineering, Chongqing University, Chao LiuZhejiang University, Meng YanSchool of Big Data & Software Engineering, Chongqing University, Xin XiaMonash University, Yan LeiSchool of Big Data & Software Engineering, Chongqing University
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icpc-2020-tool-demonstration07:30 - 07:45
Valentina LenarduzziLUT University, Fabio PalombaUniversity of Salerno, Davide TaibiTampere University, Damian Andrew TamburriJheronimus Academy of Data Science
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icpc-2020-era07:45 - 08:00
Akira Fujimoto Osaka University, Yoshiki HigoOsaka University, Junnosuke Matsumoto, Shinji KusumotoOsaka University
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