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ESEC/FSE 2021
Thu 19 - Sat 28 August 2021 Clowdr Platform
Wed 25 Aug 2021 17:20 - 17:25 - Analysis—Static Analysis and Symbolic Execution Chair(s): Vaibhav Sharma
Thu 26 Aug 2021 05:20 - 05:25 - Analysis—Static Analysis and Symbolic Execution Chair(s): Akond Rahman

We present LLSC, a prototype compiler for nondeterministic parallel symbolic execution of the LLVM intermediate representation (IR). Given an LLVM IR program, LLSC generates code preserving the symbolic execution semantics and orchestrating solver invocations. The generated code runs efficiently, since the code has eliminated the interpretation overhead and explores multiple paths in parallel. To the best of our knowledge, LLSC is the first compiler for fork-based symbolic execution semantics that can generate parallel execution code.

In this demonstration paper, we present the current development and preliminary evaluation of LLSC. The principle behind LLSC is to automatically specialize a symbolic interpreter via the 1st Futamura projection, a fundamental connection between interpreters and compilers. The symbolic interpreter is written in an expressive high-level language equipped with a multi-stage programming facility. We demonstrate the run time performance through a set of benchmark programs, showing that LLSC outperforms interpretation-based symbolic execution engines in significant ways.

Wed 25 Aug

Displayed time zone: Athens change

17:00 - 18:00
Analysis—Static Analysis and Symbolic ExecutionIdeas, Visions and Reflections / Research Papers / Demonstrations +12h
Chair(s): Vaibhav Sharma Amazon Web Services
17:00
10m
Paper
IDE Support for Cloud-Based Static Analyses
Research Papers
Linghui Luo Paderborn University, Germany, Martin Schäf Amazon Web Services, Daniel J Sanchez Amazon Alexa, Eric Bodden University of Paderborn; Fraunhofer IEM
DOI Pre-print
17:10
10m
Paper
A Bounded Symbolic-Size Model for Symbolic ExecutionArtifacts AvailableArtifacts Reusable
Research Papers
David Trabish Tel Aviv University, Shachar Itzhaky Technion, Noam Rinetzky Tel Aviv University
DOI Media Attached
17:20
5m
Paper
LLSC: A Parallel Symbolic Execution Compiler for LLVM IR
Demonstrations
Guannan Wei Purdue University, Shangyin Tan Purdue University, Oliver Bračevac Purdue University, Tiark Rompf Purdue University
DOI Pre-print
17:25
5m
Paper
Learning Type Annotation: Is Big Data Enough?
Ideas, Visions and Reflections
Kevin Jesse University of California at Davis, Prem Devanbu University of California at Davis, Toufique Ahmed University of California at Davis
DOI
17:30
30m
Live Q&A
Q&A (Analysis—Static Analysis and Symbolic Execution)
Research Papers

Thu 26 Aug

Displayed time zone: Athens change

05:00 - 06:00
Analysis—Static Analysis and Symbolic ExecutionIdeas, Visions and Reflections / Research Papers / Demonstrations
Chair(s): Akond Rahman Tennessee Tech University
05:00
10m
Paper
IDE Support for Cloud-Based Static Analyses
Research Papers
Linghui Luo Paderborn University, Germany, Martin Schäf Amazon Web Services, Daniel J Sanchez Amazon Alexa, Eric Bodden University of Paderborn; Fraunhofer IEM
DOI Pre-print
05:10
10m
Paper
A Bounded Symbolic-Size Model for Symbolic ExecutionArtifacts AvailableArtifacts Reusable
Research Papers
David Trabish Tel Aviv University, Shachar Itzhaky Technion, Noam Rinetzky Tel Aviv University
DOI Media Attached
05:20
5m
Paper
LLSC: A Parallel Symbolic Execution Compiler for LLVM IR
Demonstrations
Guannan Wei Purdue University, Shangyin Tan Purdue University, Oliver Bračevac Purdue University, Tiark Rompf Purdue University
DOI Pre-print
05:25
5m
Paper
Learning Type Annotation: Is Big Data Enough?
Ideas, Visions and Reflections
Kevin Jesse University of California at Davis, Prem Devanbu University of California at Davis, Toufique Ahmed University of California at Davis
DOI
05:30
30m
Live Q&A
Q&A (Analysis—Static Analysis and Symbolic Execution)
Research Papers