• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Stakeholder Conflict Resolution Model (S-CRM) Based On Supervised Learning

Vol. 6, No. 11, November 29, 2012
10.3837/tiis.2012.11.004, Download Paper (Free):

Abstract

Various stakeholders are involved in the creation of software projects. In general, the higher the number of stakeholders involved during the requirements elicitation phase, the better are the chances of success for the project. However, it is rather difficult to consider the opinion of all the stakeholders owing to constraints on time and resources. Furthermore, conflicts between stakeholders can become inevitable when the number of stakeholders increases. Thus, the identification of key stakeholders is an important factor in ensuring the success of a project. In this paper, a methodical stakeholder conflict resolution model (s-CRM) is proposed by considering an actual industrial case study. The proposed model uses information gain based on entropy when measuring the impurity of information. We believe that the proposed sCRM is effective in identifying the key stakeholders and in intuitively indicating those stakeholders whose elicited requirements need to be weighted. In addition, the model provides a solution for conflicts among stakeholders during requirements engineering.


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Cite this article

[IEEE Style]
C. Jeon, N. Kim, D. Lee, T. Lee, H. P. In, "Stakeholder Conflict Resolution Model (S-CRM) Based On Supervised Learning," KSII Transactions on Internet and Information Systems, vol. 6, no. 11, pp. 2813-2826, 2012. DOI: 10.3837/tiis.2012.11.004.

[ACM Style]
Chang-Kyun Jeon, Neung-Hoe Kim, Dong-Hyun Lee, Taek Lee, and Hoh Peter In. 2012. Stakeholder Conflict Resolution Model (S-CRM) Based On Supervised Learning. KSII Transactions on Internet and Information Systems, 6, 11, (2012), 2813-2826. DOI: 10.3837/tiis.2012.11.004.

[BibTeX Style]
@article{tiis:20208, title="Stakeholder Conflict Resolution Model (S-CRM) Based On Supervised Learning", author="Chang-Kyun Jeon and Neung-Hoe Kim and Dong-Hyun Lee and Taek Lee and Hoh Peter In and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2012.11.004}, volume={6}, number={11}, year="2012", month={November}, pages={2813-2826}}