ASE 2017

2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE 2017), October 30 – November 3, 2017, Urbana-Champaign, IL, USA

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Symbolic Execution
Technical Research
Floating-Point Symbolic Execution: A Case Study in N-Version Programming
Daniel Liew, Daniel Schemmel, Cristian Cadar, Alastair F. Donaldson, Rafael Zähl, and Klaus Wehrle
(Imperial College London, UK; RWTH Aachen University, Germany)
Preprint
Abstract: Symbolic execution is a well-known program analysis technique for testing software, which makes intensive use of constraint solvers. Recent support for floating-point constraint solving has made it feasible to support floating-point reasoning in symbolic execution tools. In this paper, we present the experience of two research teams that independently added floating-point support to KLEE, a popular symbolic execution engine. Since the two teams independently developed their extensions, this created the rare opportunity to conduct a rigorous comparison between the two implementations, essentially a modern case study on N-version programming. As part of our comparison, we report on the different design and implementation decisions taken by each team, and show their impact on a rigorously assembled and tested set of benchmarks, itself a contribution of the paper.

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Time stamp: 2019-09-22T01:23:49+02:00