Blogs (1) >>
ASE 2019
Sun 10 - Fri 15 November 2019 San Diego, California, United States

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

ase-2019-Student-Research-Competition
15:20 - 16:00: Student Research Competition - Poster Session: Student Research Competition at Kensington Ballroom
ase-2019-Student-Research-Competition15:20 - 16:00
Boosting Neural Commit Message Generation with Code Semantic Analysis
Shuyao JiangFudan University
ase-2019-Student-Research-Competition15:20 - 16:00
Toward Practical Automatic Program Repair
Ali GhanbariThe University of Texas at Dallas
ase-2019-Student-Research-Competition15:20 - 16:00
An Image-inspired and CNN-based Android Malware Detection Approach
Shao YangCase Western Reserve University
ase-2019-Student-Research-Competition15:20 - 16:00
An Approach for Investigating Emotion Dynamics in Software Development
Krishna NeupaneRochester Institute of Technology
ase-2019-Student-Research-Competition15:20 - 16:00
A Machine Learning based Approach to Identify SQL Injection Vulnerabilities
Kevin ZhangWayne State University
ase-2019-Student-Research-Competition15:20 - 16:00
Retrieve and Refine: Exemplar-based Neural Comment Generation
Bolin WeiPeking University
ase-2019-Student-Research-Competition15:20 - 16:00
Verifying Determinism in Sequential Programs
Rashmi MudduluruUniversity of Washington, Seattle
ase-2019-Student-Research-Competition15:20 - 16:00
User Preference Aware Multimedia Pricing Model using Game Theory and Prospect Theory for Wireless Communications
Krishna Murthy Kattiyan RamamoorthySan Diego State University
ase-2019-Student-Research-Competition15:20 - 16:00
Empirical Study of Python Call Graph
Li YuNanjing University
ase-2019-Student-Research-Competition15:20 - 16:00
Towards Comprehensible Representation of Controllers using Machine Learning
Gargi BalasubramaniamBirla Institute of Technology and Science, Pilani, K K Birla Goa Campus
ase-2019-Student-Research-Competition15:20 - 16:00
API Design Implications of Boilerplate Client Code
Daye NamCarnegie Mellon University
ase-2019-Student-Research-Competition15:20 - 16:00
Compile-time detection of machine image sniping
Martin KelloggUniversity of Washington, Seattle
ase-2019-Student-Research-Competition15:20 - 16:00
Crowdsourced Report Generation via Bug Screenshot Understanding
Shengcheng YuNanjing University, China

Wed 13 Nov

ase-2019-Student-Research-Competition
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
ase-2019-Student-Research-Competition13:40 - 13:55
Crowdsourced Report Generation via Bug Screenshot Understanding
Shengcheng YuNanjing University, China
ase-2019-Student-Research-Competition13:55 - 14:10
Towards Comprehensible Representation of Controllers using Machine Learning
Gargi BalasubramaniamBirla Institute of Technology and Science, Pilani, K K Birla Goa Campus
ase-2019-Student-Research-Competition14:10 - 14:25
Empirical Study of Python Call Graph
Li YuNanjing University
ase-2019-Student-Research-Competition14:25 - 14:40
A Machine Learning based Approach to Identify SQL Injection Vulnerabilities
Kevin ZhangWayne State University
ase-2019-Student-Research-Competition14:40 - 14:55
Boosting Neural Commit Message Generation with Code Semantic Analysis
Shuyao JiangFudan University