Learning to Find Naming Issues with Big Code and Small Supervision
Thu 24 Jun 2021 01:30 - 01:35 at PLDI-A - Talks 2A: Machine Learning
We introduce a new approach for finding and fixing naming issues in source code. The method is based on a careful combination of unsupervised and supervised procedures: (i) unsupervised mining of patterns from Big Code that express common naming idioms. Program fragments violating such idioms indicates likely naming issues, and (ii) supervised learning of a classifier on a small labeled dataset which filters potential false positives from the violations.
We implemented our method in a system called Namer and evaluated it on a large number of Python and Java programs. We demonstrate that Namer is effective in finding naming mistakes in real world repositories with high precision (~70%). Perhaps surprisingly, we also show that existing deep learning methods are not practically effective and achieve low precision in finding naming issues (up to ~16%).
Wed 23 JunDisplayed time zone: Eastern Time (US & Canada) change
13:30 - 14:05 | |||
13:30 5mTalk | Learning to Find Naming Issues with Big Code and Small Supervision PLDI DOI | ||
13:35 5mTalk | Fast and Precise Certification of Transformers PLDI Gregory Bonaert ETH Zurich, Dimitar I. Dimitrov ETH Zurich, Maximilian Baader ETH Zurich, Martin Vechev ETH Zurich DOI | ||
13:40 5mTalk | Web Question Answering with Neurosymbolic Program Synthesis PLDI Qiaochu Chen University of Texas at Austin, USA, Aaron Lamoreaux University of Texas at Austin, Xinyu Wang University of Michigan, Greg Durrett University of Texas at Austin, USA, Osbert Bastani University of Pennsylvania, Işil Dillig University of Texas at Austin DOI | ||
13:45 5mTalk | Robustness Certification with Generative Models PLDI Matthew Mirman ETH Zurich, Alexander Hägele ETH Zurich, Timon Gehr ETH Zurich, Pavol Bielik ETH Zurich, Martin Vechev ETH Zurich Link to publication DOI | ||
13:50 5mTalk | DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion PLDI Wei Niu College of William & Mary, Jiexiong Guan College of William & Mary, Yanzhi Wang Northeastern University, Gagan Agrawal Augusta University, Bin Ren College of William & Mary DOI | ||
13:55 5mTalk | Vectorized Secure Evaluation of Decision Forests PLDI Raghav Malik Purdue University, Vidush Singhal Purdue University, Benjamin Gottfried Purdue University, Milind Kulkarni Purdue University DOI Pre-print | ||
14:00 5mTalk | AKG: Automatic Kernel Generation for Neural Processing Units using Polyhedral Transformations PLDI Jie Zhao State Key Laboratory of Mathematical Engineering and Advanced Computing, Bojie Li Huawei Technologies, Wang Nie Huawei Technologies, Zhen Geng Huawei Technologies, Renwei Zhang Huawei Technologies, Xiong Gao Huawei Technologies, Bin Cheng Huawei Technologies, Chen Wu Huawei, Yun Cheng Huawei Technologies, Zheng Li Huawei Technologies, Peng Di Huawei Technologies, Kun Zhang Huawei Technologies, Xuefeng Jin Huawei Technologies DOI |
Thu 24 JunDisplayed time zone: Eastern Time (US & Canada) change
01:30 - 02:05 | |||
01:30 5mTalk | Learning to Find Naming Issues with Big Code and Small Supervision PLDI DOI | ||
01:35 5mTalk | Fast and Precise Certification of Transformers PLDI Gregory Bonaert ETH Zurich, Dimitar I. Dimitrov ETH Zurich, Maximilian Baader ETH Zurich, Martin Vechev ETH Zurich DOI | ||
01:40 5mTalk | Web Question Answering with Neurosymbolic Program Synthesis PLDI Qiaochu Chen University of Texas at Austin, USA, Aaron Lamoreaux University of Texas at Austin, Xinyu Wang University of Michigan, Greg Durrett University of Texas at Austin, USA, Osbert Bastani University of Pennsylvania, Işil Dillig University of Texas at Austin DOI | ||
01:45 5mTalk | Robustness Certification with Generative Models PLDI Matthew Mirman ETH Zurich, Alexander Hägele ETH Zurich, Timon Gehr ETH Zurich, Pavol Bielik ETH Zurich, Martin Vechev ETH Zurich Link to publication DOI | ||
01:50 5mTalk | DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion PLDI Wei Niu College of William & Mary, Jiexiong Guan College of William & Mary, Yanzhi Wang Northeastern University, Gagan Agrawal Augusta University, Bin Ren College of William & Mary DOI | ||
01:55 5mTalk | Vectorized Secure Evaluation of Decision Forests PLDI Raghav Malik Purdue University, Vidush Singhal Purdue University, Benjamin Gottfried Purdue University, Milind Kulkarni Purdue University DOI Pre-print | ||
02:00 5mTalk | AKG: Automatic Kernel Generation for Neural Processing Units using Polyhedral Transformations PLDI Jie Zhao State Key Laboratory of Mathematical Engineering and Advanced Computing, Bojie Li Huawei Technologies, Wang Nie Huawei Technologies, Zhen Geng Huawei Technologies, Renwei Zhang Huawei Technologies, Xiong Gao Huawei Technologies, Bin Cheng Huawei Technologies, Chen Wu Huawei, Yun Cheng Huawei Technologies, Zheng Li Huawei Technologies, Peng Di Huawei Technologies, Kun Zhang Huawei Technologies, Xuefeng Jin Huawei Technologies DOI |