Advertisement

Summary and Future Directions

  • Miroslaw Staron
  • Wilhelm Meding
Chapter

Abstract

There are two statements that strongly relate to the content of this book. “You can’t control what you can’t measure,” by Tom DeMarco, and “In the future, all companies will be software companies,” by George Colony. The first one relates to the need that all companies and organizations have, i.e. to be able to control everything that happens during the development and the maintenance lifecycle of software products. The second quote relates to the undisputed fact of the technological evolution we are witnessing, i.e. that software is becoming a natural part of more and more products. In this last chapter, we take these two quotes under consideration, as we discuss trends and future directions that will impact the software measurement programs.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [Abr10]
    Alain Abran. Software metrics and software metrology. John Wiley & Sons, 2010.Google Scholar
  2. [RS15]
    Rakesh Rana and Miroslaw Staron. Machine learning approach for quality assessment and prediction in large software organizations. In Software Engineering and Service Science (ICSESS), 2015 6th IEEE International Conference on, pages 1098–1101. IEEE, 2015.Google Scholar
  3. [RSH+14]
    Rakesh Rana, Miroslaw Staron, Jörgen Hansson, Martin Nilsson, and Wilhelm Meding. A framework for adoption of machine learning in industry for software defect prediction. In Software Engineering and Applications (ICSOFT-EA), 2014 9th International Conference on, pages 383–392. IEEE, 2014.Google Scholar
  4. [SM09]
    Miroslaw Staron and Wilhelm Meding. Ensuring reliability of information provided by measurement systems. In Software Process and Product Measurement, pages 1–16. Springer, 2009.Google Scholar
  5. [SM11]
    Miroslaw Staron and Wilhelm Meding. Factors determining long-term success of a measurement program: An industrial case study. e-Informatica, 5(1):7–23, 2011.Google Scholar
  6. [SM14a]
    Miroslaw Staron and Wilhelm Meding. Industrial self-healing measurement systems. In Continuous Software Engineering, pages 183–200. Springer, 2014.Google Scholar
  7. [SM14b]
    Miroslaw Staron and Wilhelm Meding. MetricsCloud: Scaling-up metrics dissemination in large organizations. Advances in Software Engineering, 2014, 2014.Google Scholar
  8. [SM16]
    Miroslaw Staron and Wilhelm Meding. Mesram–a method for assessing robustness of measurement programs in large software development organizations and its industrial evaluation. Journal of Systems and Software, 113:76–100, 2016.Google Scholar
  9. [SMH+14]
    Miroslaw Staron, Wilhelm Meding, Jörgen Hansson, Christoffer Höglund, Kent Niesel, and Vilhelm Bergmann. Dashboards for continuous monitoring of quality for software product under development. System Qualities and Software Architecture (SQSA), 2014.Google Scholar
  10. [SMKN11]
    Miroslaw Staron, Wilhelm Meding, Göran Karlsson, and Christer Nilsson. Developing measurement systems: an industrial case study. Journal of Software Maintenance and Evolution: Research and Practice, 23(2):89–107, 2011.Google Scholar
  11. [SMN08]
    Miroslaw Staron, Wilhelm Meding, and Christer Nilsson. A framework for developing measurement systems and its industrial evaluation. Information and Software Technology, 51(4):721–737, 2008.Google Scholar
  12. [SMNS16]
    Miroslaw Staron, Wilhelm Meding, Kent Niesel, and Ola Söder. Evolution of the role of measurement systems in industrial decision support. In Handbook of Research on Global Supply Chain Management, pages 560–580. IGI Global, 2016.Google Scholar
  13. [SMP12]
    Miroslaw Staron, Wilhelm Meding, and Klas Palm. Release readiness indicator for mature agile and lean software development projects. In Agile Processes in Software Engineering and Extreme Programming, pages 93–107. Springer, 2012.Google Scholar
  14. [SMT+17]
    Miroslaw Staron, Wilhelm Meding, Matthias Tichy, Jonas Bjurhede, Holger Giese, and Ola Söder. Industrial experiences from evolving measurement systems into self-healing systems for improved availability. Software: Practice and Experience, 2017.Google Scholar
  15. [Sta]
    Miroslaw Staron. Dashboard development guide how to build sustainable and useful dashboards to support software development and maintenance.Google Scholar
  16. [Sta17]
    Miroslaw Staron. Automotive software architectures: An introduction. Springer, 2017.Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Miroslaw Staron
    • 1
  • Wilhelm Meding
    • 2
  1. 1.Department of Computer Science and EngineeringUniversity of GothenburgGothenburgSweden
  2. 2.Ericsson ABGothenburgSweden

Personalised recommendations