Continuous Experimentation on Cyber-Physical Systems

Giaimo, Federico; Yin, Hang; Berger, Christian; Crnković, Ivica

doi:10.1145/2962695.2962709

Cited by 15 publications

(10 citation statements)

References 4 publications

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“…Scarcity of resources plays also an important role in this sense since the hardware in the car is carefully dimensioned in terms of performances to provide "just enough". Further challenges like scalability issues in case of several systems conducting experiments have also been identified in our previous study [2].…”

Section: Introductionmentioning

confidence: 77%

Considerations About Continuous Experimentation for Resource-Constrained Platforms in Self-driving Vehicles

Giaimo

Berger

Kirchner

2017

Software Architecture

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Abstract. Autonomous vehicles are slowly becoming reality thanks to the efforts of many academic and industrial organizations. Due to the complexity of the software powering these systems and the dynamicity of the development processes, an architectural solution capable of supporting long-term evolution and maintenance is required. Continuous Experimentation (CE) is an already increasingly adopted practice in software-intensive web-based software systems to steadily improve them over time. CE allows organizations to steer the development efforts by basing decisions on data collected about the system in its field of application. Despite the advantages of Continuous Experimentation, this practice is only rarely adopted in cyber-physical systems and in the automotive domain. Reasons for this include the strict safety constraints and the computational capabilities needed from the target systems. In this work, a concept for using Continuous Experimentation for resourceconstrained platforms like a self-driving vehicle is outlined.

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Section: Introductionmentioning

confidence: 77%

Considerations About Continuous Experimentation for Resource-Constrained Platforms in Self-driving Vehicles

Giaimo

Berger

Kirchner

2017

Software Architecture

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“…It is important to establishing continuous experimentation as a management instrument which result in continuous user satisfaction. In the area of CPSs, experimentation is underexplored and often not considered due to safety considerations and their proximity to the hardware level [11]. However, the CPS requirements are changing rapidly and therefore requiring a shift to iterative, humancentered development, in which continuous experimentation provides an excellent potential for facilitating its evolution and incrementally advancing its sustainability (economically, environmentally and in terms of usability).…”

Section: Principles and Methodologymentioning

confidence: 99%

Enhancing Occupants Comfort and Well-being through a Smart Office setup

Barisic

Amaral

Challenger

2020

2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO)

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A smart office, a particular case of Building Automation, represents a physical environment enriched with sensing, actuation, communication and computation capabilities aiming at acquiring and exploiting knowledge about the environment and its inhabitants. A fundamental goal of the smart offices is to ensure a comfortable working environment as well as adapting to the circumstances related to optimizing specific variables which indicate the safety and energy efficiency of the office, as well as the health and productivity of its occupants.In this position paper, we illustrate a representative system by exploring emerging technologies, which presents a unique set of challenges and opportunities to research a new generation of software control systems, by supporting non-intrusive interfaces, that put the occupants at the center of the system's concerns, by focusing on comfort and well-being while still leveraging the occupants' behaviour.

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“…In the case of safety-critical cyber-physical systems there are still many challenges to be overcome in order for Continuous Experimentation to be adopted, as shown in our previous study [5]. These challenges are mostly related to the constraints in terms of resources and safety-critical regulations that the software must always obey.…”

Section: A Problem Domain and Motivationmentioning

confidence: 99%

Design Criteria to Architect Continuous Experimentation for Self-Driving Vehicles

Giaimo

Berger

2017

2017 IEEE International Conference on Software Architecture (ICSA)

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The software powering today's vehicles surpasses mechatronics as the dominating engineering challenge due to its fast evolving and innovative nature. In addition, the software and system architecture for upcoming vehicles with automated driving functionality is already processing~750MB/s -corresponding to over 180 simultaneous 4K-video streams from popular videoon-demand services. Hence, self-driving cars will run so much software to resemble "small data centers on wheels" rather than just transportation vehicles.Continuous Integration, Deployment, and Experimentation have been successfully adopted for software-only products as enabling methodology for feedback-based software development. For example, a popular search engine conducts~250 experiments each day to improve the software based on its users' behavior.This work investigates design criteria for the software architecture and the corresponding software development and deployment process for complex cyber-physical systems, with the goal of enabling Continuous Experimentation as a way to achieve continuous software evolution. Our research involved reviewing related literature on the topic to extract relevant design requirements.The study is concluded by describing the software development and deployment process and software architecture adopted by our self-driving vehicle laboratory, both based on the extracted criteria.

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Continuous Experimentation on Cyber-Physical Systems

Cited by 15 publications

References 4 publications

Considerations About Continuous Experimentation for Resource-Constrained Platforms in Self-driving Vehicles

Considerations About Continuous Experimentation for Resource-Constrained Platforms in Self-driving Vehicles

Enhancing Occupants Comfort and Well-being through a Smart Office setup

Design Criteria to Architect Continuous Experimentation for Self-Driving Vehicles

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