Abstract
Software projects often fail because stakeholders are omitted. Existing stakeholder analysis methods rely on practitioners to manually identify and prioritise stakeholders, which is time consuming, especially in large projects with many stakeholders. This chapter investigates the use of Web 2.0 technologies, such as crowdsourcing and social networking, to identify and prioritise stakeholders. The investigation is based on the application of StakeSource in practice. StakeSource is a Web 2.0 tool that uses social networking and crowdsourcing techniques to identify and prioritise stakeholders. This chapter describes our experiences of and lessons learnt from applying StakeSource in ten real-world projects from six organisations in UK, Japan, Australia, and Canada, involving more than 600 stakeholders. We find that StakeSource can yield significant benefits, but its effectiveness depends on the stakeholders’ incentives to share information. In some projects, StakeSource elicited valuable stakeholder information; in other projects, the stakeholder responses were insufficient to add value. We conclude with a description of factors that influence stakeholder engagement via the use of Web 2.0 tools such as StakeSource. If collaborative tools such as StakeSource were to find a place in requirements engineering, we would need to understand what motivates stakeholders to contribute.
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Notes
- 1.
In this chapter, practitioners refer to the requirements engineers, project managers, system analysts, business analysts or developers who are responsible for stakeholder analysis in their projects.
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- 3.
- 4.
StakeSource tool demo is available at http://vimeo.com/18250588. For further details about StakeSource, refer to the previous work [9, 11].
- 5.
In Deutskens et al.’s study of the response rate of online surveys with different configurations (e.g., short vs. long, donation to charity vs. lottery incentive, early vs. late reminder), they found that the response rate ranged from 9.4 % to 31.4 %.
References
Nuseibeh B, Easterbrook S (2000) Requirements engineering: a roadmap. In: Proceedings of the conference on the future of software engineering, Limerick, Ireland, pp 35–46
Sharp H, Galal GH, Finkelstein A (1999) Stakeholder identification in the requirements engineering process. In: Proceedings of the database and expert system applications workshop (DEXA), Florence, Italy, pp 387–391
Zave P (1997) Classification of research efforts in requirements engineering. ACM Comput Surv 29:315–321
Macaulay L (1996) Requirements engineering. Springer Verlag, New York
Maiden N, Ncube C, Robertson S (2007) Can requirements be creative? Experiences with an enhanced air space management system. In: Proceedings of the 29th international conference on software engineering (ICSE), Minneapolis, MN, USA, pp 632–641
Gottesdiener E (2002) Requirements by collaboration: workshops for defining needs. Addison-Wesley Longman, Boston
Gause DC, Weinberg GM (1989) Exploring requirements: quality before design. Dorset House, New York
Alexander I (2005) A taxonomy of stakeholders: human roles in system development. Int J Technol Hum Interact 1:23–59
Lim SL (2010) Social networks and collaborative filtering for large-scale requirements elicitation. Ph.D. thesis, University of New South Wales
Lim SL, Quercia D, Finkelstein A (2010) StakeNet: using social networks to analyse the stakeholders of large-scale software projects. In: Proceedings of the 32nd international conference on software engineering (ICSE), vol 1, Cape Town, South Africa, pp 295–304
Lim SL, Quercia D, Finkelstein A (2010) StakeSource: harnessing the power of crowdsourcing and social networks in stakeholder analysis. In: Proceedings of the 32nd IEEE international conference on software engineering (ICSE), vol 2, Cape Town, South Africa, pp 239–242
Cleland-Huang J, Mobasher B (2008) Using data mining and recommender systems to scale up the requirements process. In: Proceedings of the 2nd international workshop on ultra-large-scale software-intensive systems, Leipzig, Germany, pp 3–6
Serrano N, Torres JM (2010) Web 2.0 for practitioners. IEEE Softw 27:11–15
Damian D (2007) Stakeholders in global requirements engineering: lessons learned from practice. IEEE Softw 24:21–27
Storey M, Treude C, van Deursen A, Cheng L (2010) The impact of social media on software engineering practices and tools. In: Proceedings of the FSE/SDP workshop on the future of software engineering research, Santa Fe, New Mexico
Grudin J (1994) Groupware and social dynamics: eight challenges for developers. Commun ACM 37:92–105
Oreilly T (2007) What is web 2.0: design patterns and business models for the next generation of software
Pouloudi A, Whitley EA (1997) Stakeholder identification in inter-organizational systems: gaining insights for drug use management systems. Eur J Inform Syst 6:1–14
Cheng BHC, Atlee JM (2007) Research directions in requirements engineering. In: Proceedings of the conference on the future of software engineering, Minneapolis, MN, USA, pp 285–303
Alexander I, Robertson S (2004) Understanding project sociology by modeling stakeholders. IEEE Softw 21:23–27
Scott J (2000) Social network analysis: a handbook. Sage, Thousand Oaks
Lindlof TR, Taylor BC (2002) Qualitative communication research methods. Sage, Thousand Oaks
Deutskens E, De Ruyter K, Wetzels M, Oosterveld P (2004) Response rate and response quality of internet-based surveys: an experimental study. Mark Lett 15:21–36
Yu J, Cooper H (1983) A quantitative review of research design effects on response rates to questionnaires. J Mark Res 20:36–44
Thayer RH, Dorfman M (1997) Software requirements engineering. Wiley-IEEE Computer Society Press, Los Alamitos
Dobson J, Blyth A, Chudge J, Strens R, Dobson J, Blyth A, Chudge J, Strens R (1994) The ORDIT approach to organisational requirements. In: Requirements engineering: social and technical issues. Academic Press Professional, San Diego, pp 87–106
Acknowledgments
We thank the SEGAL and CHISEL research groups at University of Victoria, Peggy Storey, and Peter Bentley for their feedback on the work and the practitioners and stakeholders for their feedback on StakeSource.
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Lim, S.L., Damian, D., Ishikawa, F., Finkelstein, A. (2013). Using Web 2.0 for Stakeholder Analysis: StakeSource and Its Application in Ten Industrial Projects. In: Maalej, W., Thurimella, A. (eds) Managing Requirements Knowledge. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34419-0_10
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