Data-driven development, a complementing approach for automotive systems engineering

2017 IEEE International Systems Engineering Symposium (ISSE) Pub Date : 2017-10-01 DOI:10.1109/SYSENG.2017.8088295

Johannes Bach, Jacob Langner, S. Otten, Marc Holzäpfel, E. Sax

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引用次数: 22

Abstract

Established methods and processes in the field of Automotive Systems Engineering (ASE) are challenged by the rising complexity of current features. Expanding system boundaries, tighter interconnections of functional elements, increasingly complex algorithms and an ever growing operational domain generate a multitude of different scenarios that require consideration during specification, design, implementation and testing. This paper reflects the current practice on the example of the Automotive SPICE process reference for system and software development in the automotive domain. It then contemplates on opportunities of consistent usage of recorded vehicle data throughout all phases of automotive development. Our concept of data-driven development is not intended to replace the current practice but to complement it. A summary of our previous work demonstrates the practicability of the concept on the basis of the development of a Predictive Cruise Control (PCC) feature. The contribution concludes with a scalable concept for the large scale application of data-driven development in ASE.

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数据驱动开发，汽车系统工程的补充方法

汽车系统工程(ASE)领域的既定方法和流程受到当前特征日益复杂的挑战。不断扩展的系统边界，功能元素之间更紧密的相互连接，日益复杂的算法和不断增长的操作域产生了大量不同的场景，需要在规范，设计，实现和测试期间进行考虑。本文以汽车SPICE过程为例，反映了当前的实践，为汽车领域的系统和软件开发提供了参考。然后，它考虑在汽车开发的各个阶段一致使用记录的车辆数据的机会。我们的数据驱动开发概念并不是要取代当前的实践，而是对其进行补充。我们之前工作的总结在预测巡航控制(PCC)功能开发的基础上证明了该概念的实用性。这篇文章最后提出了一个用于ASE中数据驱动开发的大规模应用程序的可伸缩概念。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2017 IEEE International Systems Engineering Symposium (ISSE)

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