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

Code comment generation is a crucial task in the field of automatic software development. Most previous neural comment generation systems used an encoder-decoder neural network and encoded only information from source code as input. Software reuse is common in software development. However, this feature has not been introduced to existing systems. Inspired by the traditional IR-based approaches, we propose to use the existing comments of similar source code as exemplars to guide the comment generation process. Based on an open source search engine, we first retrieve a similar code and treat its comment as an exemplar. Then we applied a seq2seq neural network to conduct an exemplar-based comment generation. We evaluate our approach on a large-scale Java corpus, and experimental results demonstrate that our model significantly outperforms the state-of-the-art methods.

Tue 12 Nov

Displayed time zone: Tijuana, Baja California change

15:20 - 16:00
Poster Session: Student Research CompetitionStudent Research Competition at Kensington Ballroom
15:20
40m
Boosting Neural Commit Message Generation with Code Semantic Analysis
Student Research Competition
Shuyao Jiang Fudan University
15:20
40m
Toward Practical Automatic Program Repair
Student Research Competition
Ali Ghanbari The University of Texas at Dallas
15:20
40m
An Image-inspired and CNN-based Android Malware Detection Approach
Student Research Competition
Shao Yang Case Western Reserve University
15:20
40m
An Approach for Investigating Emotion Dynamics in Software Development
Student Research Competition
Krishna Neupane Rochester Institute of Technology
15:20
40m
A Machine Learning based Approach to Identify SQL Injection Vulnerabilities
Student Research Competition
Kevin Zhang Wayne State University
15:20
40m
Retrieve and Refine: Exemplar-based Neural Comment Generation
Student Research Competition
Bolin Wei Peking University
15:20
40m
Verifying Determinism in Sequential Programs
Student Research Competition
Rashmi Mudduluru University of Washington, Seattle
15:20
40m
User Preference Aware Multimedia Pricing Model using Game Theory and Prospect Theory for Wireless Communications
Student Research Competition
Krishna Murthy Kattiyan Ramamoorthy San Diego State University
15:20
40m
Empirical Study of Python Call Graph
Student Research Competition
Li Yu Nanjing University
15:20
40m
Towards Comprehensible Representation of Controllers using Machine Learning
Student Research Competition
Gargi Balasubramaniam Birla Institute of Technology and Science, Pilani, K K Birla Goa Campus
File Attached
15:20
40m
API Design Implications of Boilerplate Client Code
Student Research Competition
Daye Nam Carnegie Mellon University
15:20
40m
Compile-time detection of machine image sniping
Student Research Competition
Martin Kellogg University of Washington, Seattle
15:20
40m
Crowdsourced Report Generation via Bug Screenshot Understanding
Student Research Competition
Shengcheng Yu Nanjing University, China
File Attached