Stakeholder conflict resolution model (S-CRM) based on supervised learning

Chang Kyun Jeon, Neung Hoe Kim, Dong Hyun Lee, Taek Lee, Hoh Peter In

Research output: Contribution to journalArticle

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 s- CRM 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.

Original languageEnglish
Pages (from-to)2813-2826
Number of pages14
JournalKSII Transactions on Internet and Information Systems
Volume6
Issue number11
Publication statusPublished - 2012 Nov 30

Keywords

  • Conflicts
  • Entropy
  • Information gain
  • Requirements engineering
  • Stakeholder

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications

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