Write a Blog >>
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

Displayed time zone: (UTC) Coordinated Universal Time change

07:00 - 08:00
Session 5: For ResearchersResearch / ERA / Tool Demonstration at ICPC
Chair(s): Bin Lin Università della Svizzera italiana (USI)
07:00
15m
Paper
A Literature Review of Automatic Traceability Links Recovery for Software Change Impact Analysis
Research
Thazin Win Win Aung University of Technology Sydney, Yulei Sui University of Technology Sydney, Australia, Huan Huo University of Technology Sydney
Media Attached
07:15
15m
Paper
Improving Code Search with Co-Attentive Representation Learning
Research
Jianhang Shuai School of Big Data & Software Engineering, Chongqing University, Ling Xu School of Big Data & Software Engineering, Chongqing University, Chao Liu Zhejiang University, Meng Yan School of Big Data & Software Engineering, Chongqing University, Xin Xia Monash University, Yan Lei School of Big Data & Software Engineering, Chongqing University
Media Attached
07:30
15m
Paper
OpenSZZ: A Free, Open-Source, Web-Accessible Implementation of the SZZ Algorithm
Tool Demonstration
Valentina Lenarduzzi LUT University , Fabio Palomba University of Salerno, Davide Taibi Tampere University , Damian Andrew Tamburri Jheronimus Academy of Data Science
Media Attached
07:45
15m
Paper
Staged Tree Matching for Detecting Code Move across Files
ERA
Akira Fujimoto Osaka University, Yoshiki Higo Osaka University, Junnosuke Matsumoto , Shinji Kusumoto Osaka University
Media Attached