Bridging the Experimental Gap: Applying Continuous Experimentation to the Field of Cyber-Physical Systems, in the Example of the Automotive Domain
Doktorsavhandling, 2020

In the software world frequent updates and fast delivery of new features are needed by companies to bring value to customers and not lag behind competition. When in cyber-physical systems the software functionality dominates in importance the hardware capabilities, the same speed in creating new value is needed by the product owners to differentiate their products and attract customers. The automotive field is an example of a domain that will face this challenge as the industry races to achieve self-driving vehicles, which will necessarily be software-intensive highly complex cyber-physical systems.
A software engineering practice capable of accelerating and guiding the software production process using real-world data is Continuous Experimentation. This practice proved to be valuable in software-intensive web-based systems, allowing data-driven software evolution. It involves the use of experiments, which are instrumented versions of the software to be tested, deployed to the actual systems and executed in a limited way alongside the official software version. Valuable data on the future behavior of the prospective feature is collected in this way as it was fed the same real-world data it would encounter once approved and deployed. Additionally, in those cases where an experimental software version can be run as a replacement for the official version, relevant data regarding the system-user interaction can be gathered.
In this thesis, the field of cyber-physical systems and the automotive practitioners' perspective on Continuous Experimentation are sampled employing a literature review and a series of case studies. A set of necessary architectural characteristics are defined and possible methods to overcome the issue of resource constraints in cyber-physical systems are proposed in two exploratory studies. Finally, a design study shows and analyses a prototype of a Continuous Experimentation cycle that was designed and executed in a project partnered by Revere, the Chalmers University of Technology's laboratory for vehicle research.

Cyber-Physical Systems

Software Engineering

Continuous Experimentation

Room 473, Jupiter building, Campus Lindholmen
Opponent: Jürgen Münch, Reutlingen University, Germany

Författare

Federico Giaimo

Chalmers, Data- och informationsteknik, Software Engineering, Software Engineering for Cyber Physical Systems

Design Criteria to Architect Continuous Experimentation for Self-Driving Vehicles

Proceedings - 2017 IEEE International Conference on Software Architecture, ICSA 2017,; (2017)p. 203-210

Paper i proceeding

Considerations about continuous experimentation for resource-constrained platforms in self-driving vehicles

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),; Vol. 10475 LNCS(2017)p. 84-91

Paper i proceeding

Continuous Experimentation for Automotive Software on the Example of a Heavy Commercial Vehicle in Daily Operation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),; (2020)

Paper i proceeding

Software companies strive to release relevant updates and features in a fast way. The same is needed for cyber-physical systems when the software functionality dominates over the hardware capabilities. The automotive industry is an interesting example of the cyber-physical systems field as it will likely face these challenges to achieve self-driving vehicles which can be viewed as complex software-intensive cyber-physical systems.
Continuous Experimentation is a software engineering practice for using real-world data to guide software evolution that proved to be effective for web-based systems. New features to be tested, called 'experiments', are deployed to the actual systems and executed in a limited way beside the official software. The same real-world data is fed to all the experiments and information about the features’ future behavior is gathered to make informed decisions about development efforts.
The goal of this thesis is to introduce this practice to the cyber-physical systems field, in the example of the automotive domain. This thesis is supported by a literature review and empirical studies to analyze the field of cyber-physical systems and the automotive practitioners' perspective on Continuous Experimentation. Additional studies devise a set of architectural characteristics needed to enable this practice as well as possible methods to overcome the issue of limited computational resources. Finally, a Continuous Experimentation infrastructure is proposed and analyzed.

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Ämneskategorier

Programvaruteknik

Inbäddad systemteknik

Infrastruktur

ReVeRe (Research Vehicle Resource)

ISBN

978-91-7905-346-8

Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 4813

Utgivare

Chalmers tekniska högskola

Room 473, Jupiter building, Campus Lindholmen

Online

Opponent: Jürgen Münch, Reutlingen University, Germany

Mer information

Senast uppdaterat

2020-09-07