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Thu 12 Nov 2020 08:07 - 08:08 at Virtual room 1 - Analysis 3

One of the key properties of a program is its input specification. Having a formal input specification can be critical in fields such as vulnerability analysis, reverse engineering, software testing, clone detection, or refactoring. Unfortunately, accurate input specifications for typical programs are often unavailable or out of date.

In this paper, we present a general algorithm that takes a program and a small set of sample inputs and automatically infers a readable context-free grammar capturing the input language of the program. We infer the syntactic input structure only by observing access of input characters at different locations of the input parser. This works on all stack based recursive descent input parsers, including parser combinators, and works entirely without program specific heuristics. Our Mimid prototype produced accurate and readable grammars for a variety of evaluation subjects, including complex languages such as JSON, TinyC, and JavaScript.

Thu 12 Nov
Times are displayed in time zone: (UTC) Coordinated Universal Time change

08:00 - 08:02
Talk
Flexeme: Untangling Commits Using Lexical Flows
Research Papers
Profir-Petru PârțachiUniversity College London, UK, Santanu Kumar DashUniversity of Surrey, UK, Miltiadis AllamanisMicrosoft Research, UK, Earl T. BarrUniversity College London, UK
DOI Pre-print Media Attached File Attached
08:03 - 08:04
Talk
FREPA: An Automated and Formal Approach to Requirement Modeling and Analysis in Aircraft Control Domain
Industry Papers
Jincao FengEast China Normal University, Weikai MiaoEast China Normal University, China, Hanyue ZhengEast China Normal University, Yihao HuangEast China Normal University, Jianwen LiEast China Normal University, China, Zheng WangBeijing Sunwise Information Technology, China, Ting SuEast China Normal University, China, Bin GuBeijing Institute of Control Engineering, China, Geguang PuShanghai Trusted Industrial Control Platform, China, Mengfei YangChina Academy of Space Technology, China, Jifeng HeShanghai Key Lab of Trustworthy Computing, China
DOI
08:05 - 08:06
Talk
Mining Assumptions for Software Components using Machine Learning
Research Papers
Khouloud GaaloulUniversity of Luxembourg, Luxembourg, Claudio MenghiUniversity of Luxembourg, Luxembourg, Shiva NejatiUniversity of Ottawa, Canada / University of Luxembourg, Luxembourg, Lionel BriandUniversity of Ottawa, Canada / University of Luxembourg, Luxembourg, David WolfeQRA, Canada
DOI
08:07 - 08:08
Talk
Mining Input Grammars from Dynamic Control Flow
Research Papers
Rahul GopinathCISPA, Germany, Björn MathisCISPA, Germany, Andreas ZellerCISPA, Germany
DOI
08:09 - 08:10
Talk
TypeWriter: Neural Type Prediction with Search-Based Validation
Research Papers
Michael PradelUniversity of Stuttgart, Germany, Georgios GousiosFacebook & Delft University of Technology, Jason LiuFacebook, USA, Satish ChandraFacebook, USA
DOI Pre-print Media Attached
08:11 - 08:30
Talk
Conversations on Analysis 3
Paper Presentations
Khouloud GaaloulUniversity of Luxembourg, Luxembourg, Michael PradelUniversity of Stuttgart, Germany, Profir-Petru PârțachiUniversity College London, UK, Rahul GopinathCISPA, Germany, M: Dan HaoPeking University, China