The paper discusses the concept of innovation experiment systems in the context of long-lived embedded systems. These systems need to evolve continuously to stay competitive and provide value to the customer and end-user, especially in domains where the pace of change is increasing.

Innovation experiment systems provide a natural mechanism that allows an embedded system, its architecture and underlying platform to continuously evolve in response to changes in the user requirements and system context. It uses a rapid feedback loop to evaluate the benefits of small variations to users with the intent of continuous improvements.

The paper explores the architectural implications as the ability to continuously evolve and conduct experiences in the deployed product context in a safe and controlled manner must be supported by the architecture of the embedded systems.

Finally, the paper illustrates these concepts using a case study concerning an infotainment system in the automotive industry.


innovation experiment system embedded systems software architecture automotive software 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Bosch, J.: Building Products as Innovation Experiment Systems. In: Cusumano, M.A., Iyer, B., Venkatraman, N. (eds.) ICSOB 2012. LNBIP, vol. 114, pp. 27–39. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  2. 2.
    Broy, M.: Challenges in automotive software engineering. In: Proceedings of the International Conference on Software Engineering, pp. 33–42. ACM, Shanghai (2006), Google Scholar
  3. 3.
    Di Natale, M., Sangiovanni-Vincentelli, A.L.: Moving from federated to integrated architectures in automotive: The role of standards, methods and tools. Proceedings of the IEEE 98(4), 603–620 (2010), CrossRefGoogle Scholar
  4. 4.
    Ebert, C., Jones, C.: Embedded software: Facts, figures, and future. Computer 42(4), 42–52 (2009), CrossRefGoogle Scholar
  5. 5.
    Koslowski, T.: Your connected vehicle is arriving. Technology Review (January 2012),
  6. 6.
    Melin, K.: Volvo s80: Electrical system of the future. Volvo Technology Report 1, 3–7 (1998), Google Scholar
  7. 7.
    Montgomery, D.C.: Design and Analysis of Experiments, 3rd edn. Wiley (1991)Google Scholar
  8. 8.
    Reichheld, F.F.: The one number you need to grow. Harvard Business Review 81(12), 46–54 (2003), Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Jan Bosch
    • 1
  • Ulrik Eklund
    • 1
  1. 1.Software Engineering Division, Dept. Computer Science & EngineeringChalmers University of TechnologyGöteborgSweden

Personalised recommendations