Blogs (1) >>
ASE 2019
Sun 10 - Fri 15 November 2019 San Diego, California, United States
Wed 13 Nov 2019 17:00 - 17:20 at Cortez 2&3 - API and Renaming Chair(s): Massimiliano Di Penta

The decompiler is one of the most common tools for examining binaries without corresponding source code. It transforms binaries into high-level code, reversing the compilation process. However, compilation loses information contained within the original source code (e.g., structure, type information, and variable names). Semantically meaningful variable names are known to increase code understandability, but they generally cannot be recovered by decompilers. We propose the Decompiled Identifier Renaming Engine (DIRE), a novel probabilistic technique for variable name recovery that uses both lexical and structural information. We also present a technique for generating corpora suitable for training and evaluating models of decompiled code renaming, which we use to create a corpus of 164,632 unique x86-64 binaries generated from C projects mined from GitHub. Our results show that on this corpus DIRE can predict variable names identical to the names in the original source code up to 74.3% of the time.

Wed 13 Nov

Displayed time zone: Tijuana, Baja California change

16:00 - 17:40
API and RenamingResearch Papers / Journal First Presentations at Cortez 2&3
Chair(s): Massimiliano Di Penta University of Sannio
16:00
20m
Talk
CodeKernel: A Graph Kernel based Approach to the Selection of API Usage Examples
Research Papers
Xiaodong Gu The Hong Kong University of Science and Technology, Hongyu Zhang The University of Newcastle, Sunghun Kim Hong Kong University of Science and Technology
Pre-print
16:20
20m
Talk
Machine Learning Based Automated Method Name Recommendation: How Far Are We
Research Papers
Lin Jiang beijing university of posts and telecommunication, Hui Liu Beijing Institute of Technology, He Jiang School of Software, Dalian University of Technology
Link to publication Pre-print
16:40
20m
Talk
MARBLE: Mining for Boilerplate Code to Identify API Usability Problems
Research Papers
Daye Nam Carnegie Mellon University, Amber Horvath Carnegie Mellon University, Andrew Macvean Google, Inc., Brad A. Myers Carnegie Mellon University, Bogdan Vasilescu Carnegie Mellon University
Pre-print
17:00
20m
Talk
DIRE: A Neural Approach to Decompiled Identifier Renaming
Research Papers
Jeremy Lacomis Carnegie Mellon University, Pengcheng Yin Carnegie Mellon University, Edward J. Schwartz Carnegie Mellon University Software Engineering Institute, Miltiadis Allamanis Microsoft Research, Cambridge, Claire Le Goues Carnegie Mellon University, Graham Neubig Carnegie Mellon University, Bogdan Vasilescu Carnegie Mellon University
Pre-print Media Attached
17:20
20m
Talk
Automatic Detection and Update Suggestion for Outdated API Names in Documentation
Journal First Presentations
Seonah Lee Gyeongsang National University, Rongxin Wu Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Shing-Chi Cheung Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Sungwon Kang Korea Advanced Institute of Science and Technology
Link to publication