TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Stakeholder Conflict Resolution Model (S-CRM) Based On Supervised Learning |
| 영문제목(English Title) |
Stakeholder Conflict Resolution Model (S-CRM) Based On Supervised Learning |
| 저자(Author) |
Chang-Kyun Jeon
Neung-Hoe Kim
Dong-Hyun Lee
Taek Lee
Hoh Peter In
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| 원문수록처(Citation) |
VOL 06 NO. 11 PP. 2813 ~ 2826 (2012. 11) |
한글내용
(Korean Abstract) |
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영문내용
(English 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.
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| 키워드(Keyword) |
Stakeholder
conflicts
requirements engineering
entropy
information gain
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| 파일첨부 |
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