A Practical GLR Parser Generator for Software Reverse Engineering
Teng Geng, Fu Xu, Han Mei, Wei Meng, Zhibo Chen, Changqing Lai · Journal of Networks · 2014
Abstract—Traditional parser generators use deterministic parsing methods. These methods can not meet the parsing requirements of software reverse engineering effectively. A new parser generator is presented which can generate GLR parser with automatic error recovery. The generated GLR parser has comparable parsing speed with the traditional LALR(1) parser and can be used in the parsing of software reverse engineering.