Achieving Determinism in Adaptive AUTOSAR

TL;DR

This paper addresses the lack of deterministic execution in AUTOSAR Adaptive Platform, proposing a framework to ensure determinism for safety-critical automotive applications, demonstrated through a brake assistant case study.

Contribution

It introduces a novel framework for designing deterministic automotive software that integrates with AUTOSAR Adaptive Platform's communication mechanisms.

Findings

Original implementation is nondeterministic

Proposed framework achieves deterministic behavior

Case study validates the approach

Abstract

AUTOSAR Adaptive Platform is an emerging industry standard that tackles the challenges of modern automotive software design, but does not provide adequate mechanisms to enforce deterministic execution. This poses profound challenges to testing and maintenance of the application software, which is particularly problematic for safety-critical applications. In this paper, we analyze the problem of nondeterminism in AP and propose a framework for the design of deterministic automotive software that transparently integrates with the AP communication mechanisms. We illustrate our approach in a case study based on the brake assistant demonstrator application that is provided by the AUTOSAR consortium. We show that the original implementation is nondeterministic and discuss a deterministic solution based on our framework.