Skip to main content

A Researcher’s Experiences in Supporting Industrial Software Process Improvement

  • Chapter
  • First Online:
  • 1330 Accesses

Abstract

Industry–academia collaboration in software engineering is essential for the relevance of research, as research may make important contributions to the improvement of software engineering. Thus, software engineering researchers are an asset in software process improvement. In this chapter, I present different experiences of being an embedded researcher in industry contributing to software process improvement. The process improvement works were focused on helping organizations to move from plan-driven processes to agile and lean processes. We will elaborate on the challenges, essential practices, and related benefits that were observed when working closely with industry in the role of embedded researchers. Supporting examples from different published cases form the basis for this experience report.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ali, N.B., Petersen, K., de França, B.B.N.: Evaluation of simulation-assisted value stream mapping for software product development: two industrial cases. Inf. Softw. Technol. 68, 45–61 (2015)

    Article  Google Scholar 

  2. Baldassarre, M.T., Caivano, D., Visaggio, G.: Empirical studies for innovation dissemination: ten years of experience. In: Proceedings of the International Conference on Evaluation and Assessment in Software Engineering, pp. 144–152. ACM, New York (2013)

    Google Scholar 

  3. Briand, L.C.: Useful software engineering research - leading a double-agent life. In: Proceedings of the IEEE International Conference on Software Maintenance, p. 2. IEEE, Washington, DC (2011)

    Google Scholar 

  4. Briand, L.C.: Embracing the engineering side of software engineering. IEEE Softw. 29(4), 96 (2012)

    Article  Google Scholar 

  5. Connor, A.M., Buchan, J., Petrova, K.: Bridging the research-practice gap in requirements engineering through effective teaching and peer learning. In: Proceedings of International Conference on Information Technology: New Generations, pp. 678–683 (2009)

    Google Scholar 

  6. Damm, L., Lundberg, L., Wohlin, C.: Faults-slip-through - a concept for measuring the efficiency of the test process. Softw. Process: Improv. Prac. 11(1), 47–59 (2006)

    Article  Google Scholar 

  7. Eldh, S.: Some researcher considerations when conducting empirical studies in industry. In: Proceedings of the International Workshop on Conducting Empirical Studies in Industry, pp. 69–70. IEEE Press, Piscataway, NJ (2013)

    Google Scholar 

  8. Engström, E., Runeson, P., Skoglund, M.: A systematic review on regression test selection techniques. Inf. Softw. Technol. 52(1), 14–30 (2010)

    Article  Google Scholar 

  9. Enoiu, E.P., Causevic, A.: Enablers and impediments for collaborative research in software testing: an empirical exploration. In: Proceedings of the International Workshop on Long-term Industrial Collaboration on Software Engineering, pp. 49–54. ACM, New York (2014)

    Google Scholar 

  10. Franch Gutiérrez, J., Ameller, D., Ayala Martínez, C.P., Cabot Sagrera, J.E.A.: Bridging the gap among academics and practitioners in non-functional requirements management: some reflections and proposals for the future. Modelling and Quality in Requirements Engineering, pp. 267–273. Verlagshaus Monsenstein und Vannerdat (2012)

    Google Scholar 

  11. Garousi, V., Petersen, K., Özkan, B.: Industry-academia collaborations in software engineering: A systematic literature review. Technical Report, Hacettepe University Software Engineering Research Group, HUSE-2015-01. https://drive.google.com/open?id=0B6dKdxaNjBENSWRwRlNJbExYUWc (2015)

  12. Garousi, V., Petersen, K., Özkan, B.: Online slr repository for industry-academia collaborations in SE. http://goo.gl/gWrGrg (2015)

  13. Glass, R.L., Hunt, A.: Software Conflict 2.0: The art and science of software engineering. developer.* Books (2006)

    Google Scholar 

  14. Gorschek, T., Garre, P., Larsson, S., Wohlin, C.: A model for technology transfer in practice. IEEE Softw. 23(6), 88–95 (2006)

    Article  Google Scholar 

  15. Grünbacher, P., Rabiser, R.: Success factors for empirical studies in industry-academia collaboration: a reflection. In: Proceedings of the International Workshop on Conducting Empirical Studies in Industry, pp. 27–32. IEEE Press, Piscataway (2013)

    Google Scholar 

  16. Ivarsson, M., Gorschek, T.: A method for evaluating rigor and industrial relevance of technology evaluations. Empir. Softw. Eng. 16(3), 365–395 (2011)

    Article  Google Scholar 

  17. Jabangwe, R., Petersen, K., Smite, D.: Visualization of defect inflow and resolution cycles: Before, during and after transfer. In: Proceedings of the Asia-Pacific Software Engineering Conference, pp. 289–298. IEEE Computer Society, Washington, DC (2013)

    Google Scholar 

  18. Jain, S., Babar, M.A., Fernandez, J.: Conducting empirical studies in industry: balancing rigor and relevance. In: Proceedings of the International Workshop on Conducting Empirical Studies in Industry, pp. 9–14. IEEE Press, Piscataway, NJ (2013)

    Google Scholar 

  19. Kaindl, H., Brinkkemper Jr., S., Bubenko, J.A., Farbey, B., Greenspan, S.J., Heitmeyer, C.L., do Prado Leite, J.C.S., Mead, N.R., Mylopoulos, J., Siddiqi, J.I.A.: Requirements engineering and technology transfer: obstacles, incentives and improvement agenda. Requir. Eng. 7(3), 113–123 (2002)

    Article  Google Scholar 

  20. Kanso, A., Monette, D.: Foundations for long-term collaborative research. In: Proceedings of the International Workshop on Long-term Industrial Collaboration on Software Engineering, pp. 43–48. ACM, New York (2014)

    Google Scholar 

  21. Kasoju, A., Petersen, K., Mäntylä, M.: Analyzing an automotive testing process with evidence-based software engineering. Inf. Softw. Technol. 55(7), 1237–1259 (2013)

    Article  Google Scholar 

  22. Khurum, M., Petersen, K., Gorschek, T.: Extending value stream mapping through waste definition beyond customer perspective. J. Softw.: Evol. Process 26(12), 1074–1105 (2014)

    Google Scholar 

  23. Kitchenham, B., Charters, S.: Guidelines for performing systematic literature reviews in software engineering. Joint Technical Report EBSE 2007-001, v. 2.3, Keele University and Durham University (2007)

    Google Scholar 

  24. Krishnan, P., Ross, K.J., Salas, P.A.P.: Industry academia collaboration: An experience report at a small university. In: Proceedings of the Conference on Software Engineering Education and Training, pp. 117–121. IEEE, Washington, DC (2009)

    Google Scholar 

  25. Martínez-Fernández, S., Marques, H.M.: Practical experiences in designing and conducting empirical studies in industry-academia collaboration. In: Proceedings of the International Workshop on Conducting Empirical Studies in Industry, pp. 15–20. ACM, New York (2014)

    Google Scholar 

  26. Misirli, A.T., Erdogmus, H., Juzgado, N.J., Dieste, O.: Topic selection in industry experiments. In: Proceedings of the International Workshop on Conducting Empirical Studies in Industry, pp. 25–30. ACM, New York (2014)

    Google Scholar 

  27. Morris, P., Masera, M., Wilikens, M.: Requirements engineering and industrial uptake. In: Proceedings of the International Conference on Requirements Engineering (Putting Requirements Engineering to Practice), pp. 130–137. IEEE, Washington, DC (1998)

    Google Scholar 

  28. Mujtaba, S., Feldt, R., Petersen, K.: Waste and lead time reduction in a software product customization process with value stream maps. In: Proceedings of the Australian Software Engineering Conference, pp. 139–148. IEEE Computer Society, Washington, DC (2010)

    Google Scholar 

  29. Munir, H., Moayyed, M., Petersen, K.: Considering rigor and relevance when evaluating test driven development: a systematic review. Inf. Softw. Technol. 56(4), 375–394 (2014)

    Article  Google Scholar 

  30. Osterweil, L.J., Ghezzi, C., Kramer, J., Wolf, A.L.: Determining the impact of software engineering research on practice. IEEE Comput. 41(3), 39–49 (2008)

    Article  Google Scholar 

  31. Petersen, K., Engström, E.: Finding relevant research solutions for practical problems: the serp taxonomy architecture. In: Proceedings of the International Workshop on Long-term Industrial Collaboration on Software Engineering, pp. 13–20. ACM, New York (2014)

    Google Scholar 

  32. Petersen, K., Wohlin, C.: A comparison of issues and advantages in agile and incremental development between state of the art and an industrial case. J. Syst. Softw. 82(9), 1479–1490 (2009)

    Article  Google Scholar 

  33. Petersen, K., Wohlin, C.: The effect of moving from a plan-driven to an incremental software development approach with agile practices - an industrial case study. Empir. Softw. Eng. 15(6), 654–693 (2010)

    Article  Google Scholar 

  34. Petersen, K., Wohlin, C.: Measuring the flow in lean software development. Softw.: Prac. Exp. 41(9), 975–996 (2011)

    Google Scholar 

  35. Petersen, K., Wohlin, C., Baca, D.: The waterfall model in large-scale development. In: Proceedings of the International Conference on Product-Focused Software Process Improvement. Lecture Notes in Business Information Processing, vol. 32, pp. 386–400. Springer, Berlin (2009)

    Google Scholar 

  36. Petersen, K., Gencel, Ç., Asghari, N., Baca, D., Betz, S.: Action research as a model for industry-academia collaboration in the software engineering context. In: Proceedings of International Workshop on Long-term Industrial Collaboration on Software Engineering, pp. 55–62. ACM, New York (2014)

    Google Scholar 

  37. Petersen, K., Roos, P., Nyström, S., Runeson, P.: Early identification of bottlenecks in very large scale system of systems software development. J. Softw.: Evol. Process 26(12), 1150–1171 (2014)

    Google Scholar 

  38. Petersen, K., Gencel, Ç., Asghari, N., Betz, S.: An elicitation instrument for operationalising gqm+strategies (GQM+S-EI). Empir. Softw. Eng. 20(4), 968–1005 (2015)

    Article  Google Scholar 

  39. Pfleeger, S.L.: Understanding and improving technology transfer in software engineering. J. Syst. Softw. 47(2–3), 111–124 (1999)

    Article  Google Scholar 

  40. Puschnig, A., Kolagari, R.T.: Requirements engineering in the development of innovative automotive embedded software systems. In: Proceedings of the IEEE International Conference on Requirements Engineering, pp. 328–333. IEEE, Washington, DC (2004)

    Google Scholar 

  41. Raschke, W., Zilli, M., Loinig, J., Weiss, R., Steger, C., Kreiner, C.: Embedding research in the industrial field: a case of a transition to a software product line. In: Proceedings of the International Workshop on Long-term Industrial Collaboration on Software Engineering, pp. 3–8. ACM, New York (2014)

    Google Scholar 

  42. Rombach, H.D., Achatz, R.: Research collaborations between academia and industry. In: Proceedings of the Workshop on the Future of Software Engineering, pp. 29–36. IEEE Computer Society Press, Washington, DC (2007)

    Google Scholar 

  43. Rombach, H.D., Ciolkowski, M., Jeffery, D.R., Laitenberger, O., McGarry, F.E., Shull, F.: Impact of research on practice in the field of inspections, reviews and walkthroughs: learning from successful industrial uses. ACM SIGSOFT Softw. Eng. Notes 33(6), 26–35 (2008)

    Article  Google Scholar 

  44. Runeson, P.: A survey of unit testing practices. IEEE Softw. 23(4), 22–29 (2006)

    Article  Google Scholar 

  45. Runeson, P.: It takes two to tango - an experience report on industry - academia collaboration. In: Proceedings of the IEEE International Conference on Software Testing, Verification and Validation, pp. 872–877. IEEE, Washington, DC (2012)

    Google Scholar 

  46. Runeson, P., Höst, M.: Guidelines for conducting and reporting case study research in software engineering. Empir. Softw. Eng. 14(2), 131–164 (2009)

    Article  Google Scholar 

  47. Runeson, P., Minör, S.: The 4+1 view model of industry-academia collaboration. In: Proceedings of the International Workshop on Long-term Industrial Collaboration on Software Engineering, pp. 21–24. ACM, New York (2014)

    Google Scholar 

  48. Runeson, P., Minör, S., Svenér, J.: Get the cogs in synch: time horizon aspects of industry-academia collaboration. In: Proceedings of the International Workshop on Long-term Industrial Collaboration on Software Engineering, pp. 25–28. ACM, New York (2014)

    Google Scholar 

  49. Sandberg, A., Pareto, L., Arts, T.: Agile collaborative research: action principles for industry-academia collaboration. IEEE Softw. 28(4), 74–83 (2011)

    Article  Google Scholar 

  50. Sjøberg, D.I.K., Anda, B., Arisholm, E., Dybå, T., Jørgensen, M., Karahasanovic, A., Koren, E.F., Vokác, M.: Conducting realistic experiments in software engineering. In: Proceedings of the International Symposium on Empirical Software Engineering, pp. 17–26. IEEE, Washington, DC (2002)

    Google Scholar 

  51. Wohlin, C.: Empirical software engineering research with industry: top 10 challenges. In: Proceedings of the International Workshop on Conducting Empirical Studies in Industry, pp. 43–46. IEEE Press, Piscataway, NJ (2013)

    Google Scholar 

  52. Wohlin, C.: Software engineering research under the lamppost. In: Proceedings of the International Joint Conference on Software Technologies, pp. IS–11. ICSOFT (2013)

    Google Scholar 

  53. Wohlin, C., Regnell, B.: Strategies for industrial relevance in software engineering education. J. Syst. Softw. 49(2–3), 125–134 (1999)

    Article  Google Scholar 

  54. Wohlin, C., Aurum, A., Angelis, L., Phillips, L., Dittrich, Y., Gorschek, T., Grahn, H., Henningsson, K., Kågström, S., Low, G., Rovegard, P., Tomaszewski, P., Toorn, C.V., Winter, J.: The success factors powering industry-academia collaboration. IEEE Softw. 29(2), 67–73 (2012)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kai Petersen .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Petersen, K. (2016). A Researcher’s Experiences in Supporting Industrial Software Process Improvement. In: Kuhrmann, M., Münch, J., Richardson, I., Rausch, A., Zhang, H. (eds) Managing Software Process Evolution. Springer, Cham. https://doi.org/10.1007/978-3-319-31545-4_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-31545-4_12

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31543-0

  • Online ISBN: 978-3-319-31545-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics