Abstract : Recently there has been an upsurge of interest in
both, Search-Based Software Testing (SBST), and Dynamic Symbolic
Execution (DSE). Each of these two approaches has complementary
strengths and weaknesses, making it a natural choice to explore the
degree to which the strengths of one can be exploited to offset the
weakness of the other. This paper introduces an augmented version of DSE
that uses a SBST-based approach to handling floating point computations,
which are known to be problematic for vanilla DSE. The approach has been
implemented as a plug in for the Microsoft Pex DSE testing tool. The
paper presents results from both, standard evaluation benchmarks, and
two open source programs.
https://hal.inria.fr/hal-01055253 Contributor : Hal IfipConnect in order to contact the contributor Submitted on : Tuesday, August 12, 2014 - 9:10:40 AM Last modification on : Thursday, July 4, 2019 - 2:30:03 PM Long-term archiving on: : Wednesday, November 26, 2014 - 10:42:17 PM
Kiran Lakhotia, Nikolai Tillmann, Mark Harman, Jonathan Halleux. FloPSy - Search-Based Floating Point Constraint
Solving for Symbolic Execution. 22nd IFIP WG 6.1 International Conference on Testing Software and Systems (ICTSS), Nov 2010, Natal, Brazil. pp.142-157, ⟨10.1007/978-3-642-16573-3_11⟩. ⟨hal-01055253⟩