Injecting floating-point testing knowledge into test generators

Abstract

Floating-point unit (FPU) verification is a known challenge, due to the variety of corner cases both in its data path and control flow. We have identified a gap in the coverage of FP corner cases that combine special data and control scenarios. We propose a solution based on combining the deep FP knowledge of a special FP test generator with the strength of a general-purpose test generator. We present a novel FP testing knowledge package (FPTK) that consists of a weighted set of FP scenarios. We explain the flow of combining the existing tools with the FPTK and demonstrate its effect. © 2012 Springer-Verlag Berlin Heidelberg.