An architecture for enabling A/B experiments in automotive embedded software
Paper i proceeding, 2021

A/B experimentation is a known technique for data-driven product development and has demonstrated its value in web-facing businesses. With the digitalisation of the automotive industry, the focus in the industry is shifting towards software. For automotive embedded software to continuously improve, A/B experimentation is considered an important technique. However, the adoption of such a technique is not without challenge. In this paper, we present an architecture to enable A/B testing in automotive embedded software. The design addresses challenges that are unique to the automotive industry in a systematic fashion. Going from hypothesis to practice, our architecture was also applied in practice for running online experiments on a considerable scale. Furthermore, a case study approach was used to compare our proposal with state-of-practice in the automotive industry. We found our architecture design to be relevant and applicable in the efforts of adopting continuous A/B experiments in automotive embedded software.

Embedded software

A/B testing

Software architecture

Automotive software

Författare

Yuchu Liu

Testing, Requirements, Innovation and Psychology

Volvo Cars

Jan Bosch

Testing, Requirements, Innovation and Psychology

Helena Holmström Olsson

Malmö universitet

Jonn Lantz

Volvo Cars

Proceedings - 2021 IEEE 45th Annual Computers, Software, and Applications Conference, COMPSAC 2021

992-997
9781665424639 (ISBN)

45th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2021
Virtual, Online, Spain,

Ämneskategorier

Programvaruteknik

Inbäddad systemteknik

Datavetenskap (datalogi)

DOI

10.1109/COMPSAC51774.2021.00134

Mer information

Senast uppdaterat

2022-05-19