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ICSE 2022
Sun 8 - Fri 27 May 2022
Tue 10 May 2022 05:15 - 05:20 at ICSE room 1-odd hours - Machine Learning with and for SE 1 Chair(s): Gemma Catolino
Thu 12 May 2022 21:15 - 21:20 at ICSE room 2-odd hours - Machine Learning with and for SE 8 Chair(s): Seok-Won Lee

In programming, the names for the program entities, especially for the methods, are the intuitive characteristic for understanding the functionality of the code. To ensure the readability and maintainability of the programs, method names should be named properly. Specifically, the names should be meaningful and consistent with other names used in related contexts in their codebase. In recent years, many automated approaches are proposed to suggest correct names for methods, among which neural machine translation (NMT) based models are widely used and have achieved state-of-the-art results. However, these NMT-based models mainly focus on extracting the code-specific features from the method body, in which the global features, including the project-specific context and documentation of the target method, are ignored. We conduct a statistical analysis to explore the relationship between the method names and their contexts. Based on the statistical results, we propose GTNM, a Global Transformer-based Neural Model for method name suggestion, which considers the local context, the project-specific context, and the documentation of the method simultaneously. Experimental results on java methods show that our model can outperform the state-of-the-art results by a large margin on method name suggestion, demonstrating the effectiveness of our proposed model.

Tue 10 May

Displayed time zone: Eastern Time (US & Canada) change

05:00 - 06:00
Machine Learning with and for SE 1NIER - New Ideas and Emerging Results / Technical Track / Journal-First Papers at ICSE room 1-odd hours
Chair(s): Gemma Catolino Tilburg University & ​Jheronimus Academy of Data Science
05:00
5m
Talk
SQAPlanner: Generating Data-Informed Software Quality Improvement Plans -- A Journal-First Presentation
Journal-First Papers
Dilini Rajapaksha Monash University, Kla Tantithamthavorn Monash University, Jirayus Jiarpakdee Monash University, Australia, Christoph Bergmeir Monash University, John Grundy Monash University, Wray Buntine Monash University
Link to publication Pre-print Media Attached
05:05
5m
Talk
Modeling Functional Similarity in Source Code with Graph-Based Siamese Networks
Journal-First Papers
NIKITA MEHROTRA Indraprastha Institute of Information Technology, NAVDHA AGARWAL Indraprastha Institute of Information Technology, Delhi, PIYUSH GUPTA Indraprastha Institute of Information Technology, Delhi, SAKET ANAND Indraprastha Institute of Information Technology, Delhi, David Lo Singapore Management University, Rahul Purandare IIIT-Delhi
Link to publication DOI Media Attached
05:10
5m
Talk
Improving the Learnability of Machine Learning APIs by Semi-Automated API Wrapping
NIER - New Ideas and Emerging Results
Lars Reimann University of Bonn, Günter Kniesel-Wünsche University of Bonn
DOI Pre-print Media Attached
05:15
5m
Talk
Learning to Recommend Method Names with Global Context
Technical Track
Fang Liu Peking University, Ge Li Peking University, Zhiyi Fu Peking University, Shuai Lu Peking University, Yiyang Hao Silicon Heart Tech Co., Zhi Jin Peking University
Pre-print Media Attached
05:20
5m
Talk
On the Importance of Building High-quality Training Datasets for Neural Code SearchNominated for Distinguished Paper
Technical Track
Zhensu Sun The Hong Kong Polytechnic University, Li Li Monash University, Yan Liu Tongji University, Xiaoning Du Monash University, Australia, Li Li Monash University
Pre-print Media Attached
05:25
5m
Talk
CodeFill: Multi-token Code Completion by Jointly Learning from Structure and Naming Sequences
Technical Track
Maliheh Izadi Delft University of Technology, Roberta Gismondi Delft University of Technology, Georgios Gousios Endor Labs & Delft University of Technology
DOI Pre-print

Thu 12 May

Displayed time zone: Eastern Time (US & Canada) change

21:00 - 22:00
Machine Learning with and for SE 8Technical Track / Journal-First Papers at ICSE room 2-odd hours
Chair(s): Seok-Won Lee Ajou University
21:00
5m
Talk
Active Learning of Discriminative Subgraph Patterns for API Misuse Detection
Journal-First Papers
Hong Jin Kang Singapore Management University, David Lo Singapore Management University
Pre-print Media Attached File Attached
21:05
5m
Talk
Defect Reduction Planning (using TimeLIME)
Journal-First Papers
Kewen Peng North Carolina State University, Tim Menzies North Carolina State University
Authorizer link Pre-print Media Attached
21:10
5m
Talk
Learning to Reduce False Positives in Analytic Bug Detectors
Technical Track
Anant Kharkar Microsoft, Roshanak Zilouchian Moghaddam Microsoft, Matthew Jin Microsoft Corporation, Xiaoyu Liu Microsoft Corporation, Xin Shi Microsoft Corporation, Colin Clement Microsoft, Neel Sundaresan Microsoft Corporation
Pre-print Media Attached
21:15
5m
Talk
Learning to Recommend Method Names with Global Context
Technical Track
Fang Liu Peking University, Ge Li Peking University, Zhiyi Fu Peking University, Shuai Lu Peking University, Yiyang Hao Silicon Heart Tech Co., Zhi Jin Peking University
Pre-print Media Attached
21:20
5m
Talk
Adaptive Test Selection for Deep Neural Networks
Technical Track
Xinyu Gao Nanjing University, Yang Feng Nanjing University, Yining Yin Nanjing University, China, Zixi Liu Nanjing University, Zhenyu Chen Nanjing University, Baowen Xu Nanjing University
Pre-print Media Attached
21:25
5m
Talk
Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source
Technical Track
Anjiang Wei Stanford University, Yinlin Deng University of Illinois at Urbana-Champaign, Chenyuan Yang Nanjing University, Lingming Zhang University of Illinois at Urbana-Champaign
Pre-print Media Attached

Information for Participants
Tue 10 May 2022 05:00 - 06:00 at ICSE room 1-odd hours - Machine Learning with and for SE 1 Chair(s): Gemma Catolino
Info for room ICSE room 1-odd hours:

Click here to go to the room on Midspace

Thu 12 May 2022 21:00 - 22:00 at ICSE room 2-odd hours - Machine Learning with and for SE 8 Chair(s): Seok-Won Lee
Info for room ICSE room 2-odd hours:

Click here to go to the room on Midspace