Formal verification of automotive embedded software - Archive ouverte HAL Access content directly
Conference Papers Year : 2018

Formal verification of automotive embedded software

Abstract

The ever-increasing complexity of automotive embedded systems and the need for safe advanced driver assistance systems (ADAS) represent a great challenge for car manufacturers. Furthermore, we expect that in the near future, authorities require a software certification in order to get convinced that ADAS are safe enough. Theoretical research and experience show that when using conventional design approaches it is impossible to guarantee high confidence to those systems. The way taken by some industries (e.g. aerospace, railway, nuclear) was by partially using formal verification techniques. In this paper, we first present a background of the formal verification techniques and how they can contribute to achieve the requirements of some safety standards. Next, we share our experience with the application of those techniques that seem to be mature enough to be used in an industrial context: Static analysis based on Abstract Interpretation, SMT-based software Model checking and Deductive proof. Finally, we make a detailed analysis about our experiments and propose an approach introducing formal methods into the development of automotive embedded software. CCS CONCEPTS • Software and its engineering → Software verification; KEYWORDS Software verification · Formal methods · ADAS · Certification ACM Reference Format: Vassil Todorov, Frédéric Boulanger, and Safouan Taha. 2018. Formal verification of automotive embedded software. In FormaliSE '18: FormaliSE
Fichier principal
Vignette du fichier
article-auteur.pdf (474.03 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01768687 , version 1 (17-04-2018)

Identifiers

Cite

Vassil Todorov, Frédéric Boulanger, Safouan Taha. Formal verification of automotive embedded software. FORMALISE: 6th International Conference on Formal Methods in Software Engineering, Jun 2018, Gothenburg, Sweden. ⟨10.1145/3193992.3194003⟩. ⟨hal-01768687⟩
475 View
1365 Download

Altmetric

Share

Gmail Facebook X LinkedIn More