FuSeBMC_IA: Interval Analysis and Methods for Test Case Generation
Mohannad Aldughaim, Kaled M. Alshmrany, Mikhail R. Gadelha, Rosiane de Freitas, Lucas Carvalho Cordeiro · Lecture notes in computer science · 2023
Abstract The cooperative verification of Bounded Model Checking and Fuzzing has proved to be one of the most effective techniques when testing C programs. FuSeBMC is a test-generation tool that employs BMC and Fuzzing to produce test cases. In Test-Comp 2023, we present an interval approach to FuSeBMC_IA, improving the test generator to use interval methods and abstract interpretation (via Frama-C) to strengthen our instrumentation and fuzzing. Here, an abstract interpretation engine instruments the program as follows. It analyzes different program branches, combines the conditions of each branch, and produces a Constraint Satisfaction Problem (CSP), which is solved using Constraint Programming (CP) by interval manipulation techniques called Contractor Programming. This process has a set of invariants for each branch, which are introduced back into the program as constraints. Experimental results show improvements in reducing CPU time (37%) and memory (13%), while retaining a high score.