Media Summary: AUTOGRAM is a novel practical method that, given a set of program runs with Knowing which part of a program processes which parts of an Did you recently face a combinatorial optimization problem? These problems come in many guises, from toy problems like the ...

Mining Input Grammars From Dynamic - Detailed Analysis & Overview

AUTOGRAM is a novel practical method that, given a set of program runs with Knowing which part of a program processes which parts of an Did you recently face a combinatorial optimization problem? These problems come in many guises, from toy problems like the ... Workshop on Dependable and Secure Software Systems 2018 Model-based testing techniques allow for a thorough exploration ... Rafael Dutra and Rahul Gopinath are currently postdoctoral researchers working on static and The behavior of command-line utilities can be very much influenced by passing command-line options and arguments ...

A webinar presented by Dr Hamad Abusaq, an Assistant Professor in the College of Computer Science and Information Systems ... SESSION 4A-3 NAUTILUS: Fishing for Deep Bugs with

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Mining Input Grammars from Dynamic Control Flow (Video, ESEC/FSE 2020)
Mining Input Grammars
Mining Input Grammars with AUTOGRAM (Demo)
Mining Input Grammars from Dynamic Control Flow (Teaser, ESEC/FSE 2020)
Mining Input Grammars with AUTOGRAM
Mining Input Grammars for Security Testing
Mining Input Grammars
"Dynamic programming at ease - with Grammars, Algebras, Products" by Stefanie Schirmer
Advances in Grammar Mining and Testing - Andreas Zeller
Input Languages for Effective and Focused Fuzzing
CLIFuzzer: Mining Grammars for Command-Line Invocations
Using Grammar Extracted from Sample Input to Generate Effective Fuzzing Files
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Mining Input Grammars from Dynamic Control Flow (Video, ESEC/FSE 2020)

Mining Input Grammars from Dynamic Control Flow (Video, ESEC/FSE 2020)

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Mining Input Grammars

Mining Input Grammars

So far, the

Mining Input Grammars with AUTOGRAM (Demo)

Mining Input Grammars with AUTOGRAM (Demo)

Live demo of the AUTOGRAM

Mining Input Grammars from Dynamic Control Flow (Teaser, ESEC/FSE 2020)

Mining Input Grammars from Dynamic Control Flow (Teaser, ESEC/FSE 2020)

"

Mining Input Grammars with AUTOGRAM

Mining Input Grammars with AUTOGRAM

AUTOGRAM is a novel practical method that, given a set of program runs with

Mining Input Grammars for Security Testing

Mining Input Grammars for Security Testing

Knowing which part of a program processes which parts of an

Mining Input Grammars

Mining Input Grammars

SE 2021.

"Dynamic programming at ease - with Grammars, Algebras, Products" by Stefanie Schirmer

"Dynamic programming at ease - with Grammars, Algebras, Products" by Stefanie Schirmer

Did you recently face a combinatorial optimization problem? These problems come in many guises, from toy problems like the ...

Advances in Grammar Mining and Testing - Andreas Zeller

Advances in Grammar Mining and Testing - Andreas Zeller

Workshop on Dependable and Secure Software Systems 2018 Model-based testing techniques allow for a thorough exploration ...

Input Languages for Effective and Focused Fuzzing

Input Languages for Effective and Focused Fuzzing

Rafael Dutra and Rahul Gopinath are currently postdoctoral researchers working on static and

CLIFuzzer: Mining Grammars for Command-Line Invocations

CLIFuzzer: Mining Grammars for Command-Line Invocations

The behavior of command-line utilities can be very much influenced by passing command-line options and arguments ...

Using Grammar Extracted from Sample Input to Generate Effective Fuzzing Files

Using Grammar Extracted from Sample Input to Generate Effective Fuzzing Files

A webinar presented by Dr Hamad Abusaq, an Assistant Professor in the College of Computer Science and Information Systems ...

NDSS 2019 NAUTILUS: Fishing for Deep Bugs with Grammars

NDSS 2019 NAUTILUS: Fishing for Deep Bugs with Grammars

SESSION 4A-3 NAUTILUS: Fishing for Deep Bugs with