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ICSE 2022
Sun 8 - Fri 27 May 2022
Wed 11 May 2022 11:25 - 11:30 at ICSE room 1-odd hours - Machine Learning with and for SE 10 Chair(s): Preetha Chatterjee
Thu 12 May 2022 21:10 - 21:15 at ICSE room 2-odd hours - Machine Learning with and for SE 8 Chair(s): Seok-Won Lee

Due to increasingly complex software design and rapid iterative development, code defects and security vulnerabilities are prevalent in modern software. In response, programmers rely on static analysis tools to regularly scan their code-bases and find potential bugs. In order to maximize coverage, however, these tools generally tend to report a significant amount of false positives, requiring developers to manually verify each warning. To address this problem, we propose a Transformer-based learning approach to identify false positive bug warnings. We demonstrate that our models can improve the precision of static analysis by 17.5%. In addition, we validated the generalizability of this approach across two major bug types: null dereference and resource leak.

Wed 11 May

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

11:00 - 12:00
Machine Learning with and for SE 10Technical Track / SEIP - Software Engineering in Practice / Journal-First Papers at ICSE room 1-odd hours
Chair(s): Preetha Chatterjee Drexel University, USA
11:00
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
11:05
5m
Talk
Automatic Fault Detection for Deep Learning Programs Using Graph Transformations
Journal-First Papers
Amin Nikanjam École Polytechnique de Montréal, Houssem Ben Braiek École Polytechnique de Montréal, Mohammad Mehdi Morovati École Polytechnique de Montréal, Foutse Khomh Polytechnique Montréal
Link to publication DOI Media Attached
11:10
5m
Talk
Counterfactual Explanations for Models of Code
SEIP - Software Engineering in Practice
Jürgen Cito TU Wien and Meta, Isil Dillig University of Texas at Austin, Vijayaraghavan Murali Meta Platforms, Inc., Satish Chandra Facebook
Pre-print Media Attached
11:15
5m
Talk
VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning
Technical Track
Qibin Chen Carnegie Mellon University, Jeremy Lacomis Carnegie Mellon University, Edward J. Schwartz Carnegie Mellon University Software Engineering Institute, Graham Neubig Carnegie Mellon University, Bogdan Vasilescu Carnegie Mellon University, USA, Claire Le Goues Carnegie Mellon University
DOI Pre-print Media Attached
11:20
5m
Talk
Towards Training Reproducible Deep Learning Models
Technical Track
Boyuan Chen Centre for Software Excellence, Huawei Canada, Mingzhi Wen Huawei Technologies, Yong Shi Huawei Technologies, Dayi Lin Centre for Software Excellence, Huawei, Canada, Gopi Krishnan Rajbahadur Centre for Software Excellence, Huawei, Canada, Zhen Ming (Jack) Jiang York University
Pre-print Media Attached
11:25
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

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
Wed 11 May 2022 11:00 - 12:00 at ICSE room 1-odd hours - Machine Learning with and for SE 10 Chair(s): Preetha Chatterjee
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