An overview of semantics for the validation of numerical programs

  • Authors:
  • Matthieu Martel

  • Affiliations:
  • CEA – Recherche Technologique, LIST-DTSI-SOL, Gif-Sur-Yvette, France

  • Venue:
  • VMCAI'05 Proceedings of the 6th international conference on Verification, Model Checking, and Abstract Interpretation
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this article, we introduce a simple formal semantics for floating-point numbers with errors which is expressive enough to be formally compared to the other methods. Next, we define formal semantics for interval, stochastic, automatic differentiation and error series methods. This enables us to formally compare the properties calculated in each semantics to our reference, simple semantics. Most of these methods having been developed to verify numerical intensive codes, we also discuss their adequacy to the formal validation of softwares and to static analysis. Finally, this study is completed by experimental results.