Wed 13 Nov 2019 14:10 - 14:25 at South Park - Student Research Competition - Selected Presentations (Undergraduate) Chair(s): Jie M. Zhang, Jin L.C. Guo
In recent years, the extensive application of the Python language in the field of artificial intelligence has made its analysis work more and more valuable. Many static analysis algorithms need to rely on the construction of call graphs. Therefore, the call graph construction for Python language deserves more attention. In this paper, we did a comparative empirical analysis of several widely used Python static call graph tools both quantitatively and qualitatively. Experiments show that the existing Python static call graph tools have a large difference in the construction effectiveness, and there is still room for improvement.
Tue 12 Nov
Wed 13 Nov
13:40 - 15:20: Student Research Competition - Student Research Competition - Selected Presentations (Undergraduate) at South Park Chair(s): Jie M. ZhangUniversity College London, UK, Jin L.C. GuoMcGill University | ||||||||||||||||||||||||||||||||||||||||||
13:40 - 13:55 | Crowdsourced Report Generation via Bug Screenshot Understanding Shengcheng YuNanjing University, China | |||||||||||||||||||||||||||||||||||||||||
13:55 - 14:10 | Towards Comprehensible Representation of Controllers using Machine Learning Gargi BalasubramaniamBirla Institute of Technology and Science, Pilani, K K Birla Goa Campus | |||||||||||||||||||||||||||||||||||||||||
14:10 - 14:25 | Empirical Study of Python Call Graph Li YuNanjing University | |||||||||||||||||||||||||||||||||||||||||
14:25 - 14:40 | A Machine Learning based Approach to Identify SQL Injection Vulnerabilities Kevin ZhangWayne State University | |||||||||||||||||||||||||||||||||||||||||
14:40 - 14:55 | Boosting Neural Commit Message Generation with Code Semantic Analysis Shuyao JiangFudan University |