ISSTA 2019
Mon 15 - Fri 19 July 2019 Beijing, China
Tue 16 Jul 2019 14:40 - 15:00 at Meeting Room 2 - Session 3

Grammar-based fuzzing has been shown to significantly improve bug detection in programs with highly structured inputs. However, since grammars are largely handwritten, it is rarely used as a standalone technique in large-spectrum fuzzers as it requires human expertise. To fill this gap, promising techniques begin to emerge to automate the extraction of context-free grammars directly from the program under test. Unfortunately, the resulting grammars are usually not expressive enough and generate too many wrong inputs to provide results capable of competing with other fuzzing techniques. In this paper we propose a technique to automate the creation of attribute grammars from context-free grammars, thus significantly lowering the barrier of entry for efficient and effective large-scale grammar-based fuzzing.

Tue 16 Jul
Times are displayed in time zone: (GMT+08:00) Beijing, Chongqing, Hong Kong, Urumqi change

14:00 - 15:30: Doctoral Symposium - Session 3 at Meeting Room 2
issta-2019-Doctoral-Symposium-14:00 - 14:20
Doctoral symposium paper
Patrick Kwaku KudjoJiangsu University
issta-2019-Doctoral-Symposium-14:20 - 14:40
Doctoral symposium paper
Xiaoqin FuWashington State University
issta-2019-Doctoral-Symposium-14:40 - 15:00
Doctoral symposium paper
Michaël MeraCISPA, Germany
issta-2019-Doctoral-Symposium-15:00 - 15:30