Skip to main content

Applying Distributed Cognition Theory to Agile Requirements Engineering

  • Conference paper
  • First Online:
Requirements Engineering: Foundation for Software Quality (REFSQ 2020)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 12045))

Abstract

[Context & Motivation] Agile Requirements Engineering (ARE) is a collaborative, team-based process based on frequent elicitation, elaboration, estimation and prioritization of the user requirements, typically represented as user stories. While it is claimed that this Agile approach and the associated RE activities are effective, there is sparse empirical evidence and limited theoretical foundation to explain this efficacy. [Question/problem] We aim to understand and explain aspects of the ARE process by focusing on a cognitive perspective. We appropriate ideas and techniques from Distributed Cognition (DC) theory to analyze the cognitive roles of people, artefacts and the physical work environment in a successful collaborative ARE activity, namely requirement prioritization. [Principal idea/results] This paper presents a field study of two early requirements related meetings in an Agile product development project. Observation data, field notes and transcripts were collected and qualitatively analyzed. We have used DiCoT, a framework for systematically applying DC as a methodological contribution, to analyze the ARE process and explain its efficacy from a cognitive perspective. The analysis identified three main areas of cognitive effort in the ARE process as well as the significant information flows and artefacts. Analysis of these have identified that the use of physical user story cards, specific facilitator skills, and development of shared understanding of the user stories, were all key to the effectiveness of the ARE activity observed. [Contribution] The deeper understanding of cognition involved in ARE provides an empirically evidenced explanation, based on DC theory, of why this way of collaboratively prioritizing requirements was effective. Our result provides a basis for designing other ARE activities.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Institutional subscriptions

References

  1. Bakalova, Z., Daneva, M., Herrmann, A., Wieringa, R.: Agile requirements prioritization: what happens in practice and what is described in literature. In: Berry, D., Franch, X. (eds.) REFSQ 2011. LNCS, vol. 6606, pp. 181–195. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-19858-8_18

    Chapter  Google Scholar 

  2. Inayat, I., Salim, S.S., Marczak, S., Daneva, M., Shamshirband, S.: A systematic literature review on agile requirements engineering practices and challenges. Comput. Hum. Behav. 51, 915–929 (2015)

    Article  Google Scholar 

  3. Rogers, Y., Ellis, J.: Distributed cognition: an alternative framework for analyzing and explaining collaborative working. J. Inf. Technol. 9(2), 119–128 (1994)

    Article  Google Scholar 

  4. Nguyen, L., Shanks, G.: A framework for understanding creativity in requirements engineering. Inf. Softw. Technol. 51(3), 655–662 (2009)

    Article  Google Scholar 

  5. Blackburn, T., Swatman, P., Vernik, R.: Cognitive dust: linking CSCW theories to creative design processes. In: 2006 10th International Conference on Computer Supported Cooperative Work in Design, pp. 1–6. IEEE (2006)

    Google Scholar 

  6. White, S.M.: Application of cognitive theories and knowledge management to requirements engineering. In: 2010 IEEE International Systems Conference, pp. 137–142. IEEE (2010)

    Google Scholar 

  7. Hansen, S.W., Robinson, W.N., Lyytinen, K.J.: Computing requirements: cognitive approaches to distributed requirements engineering. In: 2012 45th Hawaii International Conference on System Sciences, pp. 5224–5233. IEEE (2012)

    Google Scholar 

  8. Hundal, K.S., Mussbacher, G.: Model-based development with distributed cognition. In: 2018 IEEE 8th International Model-Driven Requirements Engineering Workshop (MoDRE), pp. 26–35. IEEE (2018)

    Google Scholar 

  9. Gopal, D., Lindberg, A., Lyytinen, K.: Attributes of open source software requirements–the effect of the external environment and internal social structure. In: 2016 49th Hawaii International Conference on System Sciences (HICSS), pp. 4982–4991. IEEE (2016)

    Google Scholar 

  10. Thummadi, B.V., Lyytinen, K., Hansen, S.: Quality in requirements engineering (RE) explained using distributed cognition: a case of open source development. In: Proceedings of JAIS Theory Development Workshop (2011)

    Google Scholar 

  11. Sharp, H., Robinson, H.: A distributed cognition account of mature XP teams. In: Abrahamsson, P., Marchesi, M., Succi, G. (eds.) XP 2006. LNCS, vol. 4044, pp. 1–10. Springer, Heidelberg (2006). https://doi.org/10.1007/11774129_1

    Chapter  Google Scholar 

  12. Sharp, H., Robinson, H., Segal, J., Furniss, D.: The role of story cards and the wall in XP teams: a distributed cognition perspective. In: AGILE 2006 (AGILE 2006), pp. 11–75. IEEE (2006)

    Google Scholar 

  13. Sharp, H., Robinson, H.: Collaboration and co-ordination in mature eXtreme programming teams. Int. J. Hum Comput Stud. 66(7), 506–518 (2008)

    Article  Google Scholar 

  14. Halverson, C.A.: Activity theory and distributed cognition: or what does CSCW need to DO with theories? Comput. Support. Coop. Work (CSCW) 11(1–2), 243–267 (2002). https://doi.org/10.1023/A:1015298005381

    Article  Google Scholar 

  15. Jones, P.H., Chisalita, C.: Cognition and collaboration: analyzing distributed community practices for design. In: Extended Abstracts on Human Factors in Computing Systems, CHI 2005, p. 2120. ACM (2005)

    Google Scholar 

  16. Hoadley, C.M., Kilner, P.G.: Using technology to transform communities of practice into knowledge-building communities. ACM SIGGROUP Bull. 25(1), 31–40 (2005)

    Article  Google Scholar 

  17. Blandford, A., Furniss, D.: DiCoT: a methodology for applying distributed cognition to the design of teamworking systems. In: Gilroy, S.W., Harrison, M.D. (eds.) DSV-IS 2005. LNCS, vol. 3941, pp. 26–38. Springer, Heidelberg (2006). https://doi.org/10.1007/11752707_3

    Chapter  Google Scholar 

  18. Hollan, J., Hutchins, E., Kirsh, D.: Distributed cognition: toward a new foundation for human-computer interaction research. ACM Trans. Comput. Hum. Interact. (TOCHI) 7(2), 174–196 (2000)

    Article  Google Scholar 

  19. Wright, P.C., Fields, R.E., Harrison, M.D.: Analyzing human-computer interaction as distributed cognition: the resources model. Hum. Comput. Interact. 15(1), 1–41 (2000)

    Article  Google Scholar 

  20. Racheva, Z., Daneva, M., Buglione, L.: Supporting the dynamic reprioritization of requirements in agile development of software products. In: 2008 Second International Workshop on Software Product Management, pp. 49–58. IEEE (2008)

    Google Scholar 

  21. Achimugu, P., Selamat, A., Ibrahim, R., Mahrin, M.N.: A systematic literature review of software requirements prioritization research. Inf. Softw. Technol. 56(6), 568–585 (2014)

    Article  Google Scholar 

  22. Riegel, N., Doerr, J.: A systematic literature review of requirements prioritization criteria. In: Fricker, S.A., Schneider, K. (eds.) REFSQ 2015. LNCS, vol. 9013, pp. 300–317. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-16101-3_22

    Chapter  Google Scholar 

  23. Hutchins, E.: Cognition in the Wild. MIT Press, Cambridge (1995). (no. 1995)

    Google Scholar 

  24. Hutchins, E.: How a cockpit remembers its speeds. Cogn. Sci. 19(3), 265–288 (1995)

    Article  Google Scholar 

  25. Vaesen, K.: Giere’s (in)appropriation of distributed cognition. Soc. Epistemol. 25(4), 379–391 (2011)

    Article  Google Scholar 

  26. Racheva, Z., Daneva, M., Herrmann, A., Wieringa, R.J.: A conceptual model and process for client-driven agile requirements prioritization. In: 2010 Fourth International Conference on Research Challenges in Information Science (RCIS), Nice, pp. 287–298 (2010). https://doi.org/10.1109/rcis.2010.5507388

  27. Al-Ta’ani, R.H., Razali, R.: A framework for requirements prioritisation process in an agile software development environment: empirical study. Int. J. Adv. Sci. Eng. Inf. Technol. 6(6), 846–856 (2016)

    Article  Google Scholar 

  28. Hall, D.J., Davis, R.A.: Engaging multiple perspectives: a value-based decision-making model. Decis. Support Syst. 43(4), 1588–1604 (2007)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jim Buchan .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Buchan, J., Zowghi, D., Bano, M. (2020). Applying Distributed Cognition Theory to Agile Requirements Engineering. In: Madhavji, N., Pasquale, L., Ferrari, A., Gnesi, S. (eds) Requirements Engineering: Foundation for Software Quality. REFSQ 2020. Lecture Notes in Computer Science(), vol 12045. Springer, Cham. https://doi.org/10.1007/978-3-030-44429-7_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-44429-7_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-44428-0

  • Online ISBN: 978-3-030-44429-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics