RL+SE&PL 2020 – Proceedings

1st ACM SIGSOFT International Workshop on Representation Learning for Software Engineering and Program Languages (RL+SE&PL 2020)

Frontmatter

Papers

A Multi-task Representation Learning Approach for Source Code
Deze Wang, Wei Dong, and Shanshan Li
(National University of Defense Technology, China)

Publisher's Version

Statistical Machine Translation Outperforms Neural Machine Translation in Software Engineering: Why and How
Hung Phan and Ali Jannesari
(Iowa State University, USA)

Publisher's Version Info

A Differential Evolution-Based Approach for Effort-Aware Just-in-Time Software Defect Prediction
Xingguang Yang, Huiqun Yu, Guisheng Fan, and Kang Yang
(East China University of Science and Technology, China)

Publisher's Version

When Representation Learning Meets Software Analysis
Ming Fan, Ang Jia, Jingwen Liu, Ting Liu, and Wei Chen
(Xi'an Jiaotong University, China; State Grid Shaanxi Electric Power Research Institute, China)

Publisher's Version

Boosting Component-Based Synthesis with Control Structure Recommendation
Binbin Liu, Wei Dong, Yating Zhang, Daiyan Wang, and Jiaxin Liu
(National University of Defense Technology, China)

Publisher's Version

Towards Demystifying Dimensions of Source Code Embeddings
Md Rafiqul Islam Rabin, Arjun Mukherjee, Omprakash Gnawali, and Mohammad Amin Alipour
(University of Houston, USA)

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Representation Learning for Software Engineering and Programming Languages
Tien N. Nguyen and Shaohua Wang
(University of Texas at Dallas, USA; New Jersey Institute of Technology, USA)

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