Blogs (1) >>
ASE 2019
Sun 10 - Fri 15 November 2019 San Diego, California, United States
Tue 12 Nov 2019 10:40 - 11:00 at Cortez 2&3 - AI and SE Chair(s): Kaiyuan Wang

Many Natural Language Processing (NLP) tasks, such as sentiment analysis or syntactic parsing, have benefited from the development of word embedding models. In particular, regardless of the training algorithms, the learned embeddings have often been shown to be generalizable to different NLP tasks. In contrast, despite recent momentum on word embeddings for source code, the literature lacks evidence of their generalizability beyond the example task they have been trained for.

In this experience paper, we identify 3 potential downstream tasks, namely code comments generation, code authorship identification, and code clones detection, that source code token embedding models can be applied to. We empirically assess a recently proposed code token embedding model, namely code2vec’s token embeddings. Code2vec was trained on the task of predicting method names, and while there is potential for using the vectors it learns on other tasks, it has not been explored in literature. Therefore, we fill this gap by focusing on its generalizability for the tasks we have identified. Eventually, we show that source code token embeddings cannot be readily leveraged for the downstream tasks. Our experiments even show that our attempts to use them do not result in any improvements over less sophisticated methods. We call for more research into effective and general use of code embeddings.

Tue 12 Nov

Displayed time zone: Tijuana, Baja California change

10:40 - 12:20
10:40
20m
Talk
Assessing the Generalizability of code2vec Token Embeddings
Research Papers
Hong Jin Kang School of Information Systems, Singapore Management University, Tegawendé F. Bissyandé SnT, University of Luxembourg, David Lo Singapore Management University
Pre-print
11:00
20m
Talk
Multi-Modal Attention Network Learning for Semantic Source Code Retrieval
Research Papers
Yao Wan Zhejiang University, Jingdong Shu Zhejiang University, Yulei Sui University of Technology Sydney, Australia, Guandong Xu University of Technology, Sydney, Zhou Zhao Zhejiang University, Jian Wu Zhejiang University, philip yu University of Illinois at Chicago
11:20
20m
Talk
Experience Paper: Search-based Testing in Automated Driving Control ApplicationsACM SIGSOFT Distinguished Paper Award
Research Papers
Christoph Gladisch Corporate Research, Robert Bosch GmbH, Thomas Heinz Corporate Research, Robert Bosch GmbH, Christian Heinzemann Corporate Research, Robert Bosch GmbH, Jens Oehlerking Corporate Research, Robert Bosch GmbH, Anne von Vietinghoff Corporate Research, Robert Bosch GmbH, Tim Pfitzer Robert Bosch Automotive Steering GmbH
11:40
20m
Talk
Machine Translation-Based Bug Localization Technique for Bridging Lexical Gap
Journal First Presentations
Yan Xiao Department of Computer Science, City University of Hong Kong, Jacky Keung Department of Computer Science, City University of Hong Kong, Kwabena E. Bennin Blekinge Institute of Technology, SERL Sweden, Qing Mi Department of Computer Science, City University of Hong Kong
Link to publication
12:00
10m
Talk
AutoFocus: Interpreting Attention-based Neural Networks by Code Perturbation
Research Papers
Nghi D. Q. Bui Singapore Management University, Singapore, Yijun Yu The Open University, UK, Lingxiao Jiang Singapore Management University
Pre-print
12:10
10m
Demonstration
A Quantitative Analysis Framework for Recurrent Neural Network
Demonstrations
Xiaoning Du Nanyang Technological University, Xiaofei Xie Nanyang Technological University, Yi Li Nanyang Technological University, Lei Ma Kyushu University, Yang Liu Nanyang Technological University, Singapore, Jianjun Zhao Kyushu University