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ASE 2021
Sun 14 - Sat 20 November 2021 Australia
Thu 18 Nov 2021 21:40 - 21:50 at Kangaroo - Learning Applications Chair(s): Michael Pradel

Competitive Crowdsource Software Development (CCSD) has gained tremendous attention in the software engineering community. It explores the possibility of replacing inhouse software development to obtain cost-effective, innovative and high-quality solutions on time. CCSD depends on an open call format, where clients (companies) crowdsource their software development projects to CCSD platforms that arrange online competitions. The crowd (developers) participate in such competitions and present their innovative solutions to win monetary rewards. There are numbers of CCSD platforms e.g., TopCoder, uTest, GetACoder, and Taskcn that arrange online software development competitions. However, TopCoder1 is the largest and widely trusted CCSD platform.

Thu 18 Nov

Displayed time zone: Hobart change

21:00 - 22:00
Learning ApplicationsResearch Papers / Tool Demonstrations / Journal-first Papers at Kangaroo
Chair(s): Michael Pradel University of Stuttgart
21:00
20m
Talk
Deep GUI: Black-box GUI Input Generation with Deep Learning
Research Papers
Faraz YazdaniBanafsheDaragh University of California, Irvine, Sam Malek University of California at Irvine, USA
21:20
20m
Talk
Towards Exploring the Limitations of Active Learning: An Empirical Study
Research Papers
Qiang Hu University of Luxembourg, Yuejun GUo University of Luxembourg, Maxime Cordy University of Luxembourg, Luxembourg, Xiaofei Xie Kyushu University, Wei Ma University of Luxembourg, Mike Papadakis University of Luxembourg, Luxembourg, Yves Le Traon University of Luxembourg, Luxembourg
21:40
10m
Talk
Machine Learning based Success Prediction for Crowdsourcing Software Projects
Journal-first Papers
Inam Illahi Beijing Institute of Technology, Hui Liu Beijing Institute of Technology, Qasim Umer Beijing Institute of Technology, Nan Niu University of Cincinnati
21:50
5m
Talk
SoManyConflicts: Resolve Many Merge Conflicts Interactively and Systematically
Tool Demonstrations
Bo Shen Peking University, Wei Zhang Peking University, Ailun Yu Peking University, Yifan Shi Peking University, Haiyan Zhao Peking University, Zhi Jin Peking University