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有關 Project Management Knowledge Reuse through Scenario Models. 的學術文章
… management knowledge reuse through scenario … - ‎Barros - 8 個引述

Project Management Knowledge Reuse through Scenario ...

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2024年10月22日 — Scenario models compose a reusable knowledge base useful for project managers, who can reuse scenarios to assess the impact of their assumptions ...

Project Management Knowledge Reuse through Scenario ...

Springer

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由 MO Barros 著作2002被引用 8 次 — Scenario models compose a reusable knowledge base useful for project managers, who can reuse scenarios to assess the impact of their assumptions ...

Project Management Knowledge Reuse through Scenario Models

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Abstract. Project management is a knowledge intensive activity. Managers use their skills and experience to make decisions during the execution of a ...

Project Management Knowledge Reuse through Scenario Models

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This paper presents a knowledge representation, namely scenario models, which allows a manager to verify the impact of theories, procedures, actions, ...

Scenario Oriented Project Management Knowledge Reuse ...

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This paper focuses the construction and reuse of project management scenario models. Such models hold the knowledge about management theories, actions, ...

Knowledge Reuse in Software Project Management

Semantic Scholar

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This paper aims at elucidating the process involved in reusing the existing assets and to show its effect in a statistical manner and therefore prove that ...

Scenario Oriented Project Management Knowledge Reuse ...

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Development for reuse –Risk management for risk identification –Identifying, modeling, and documenting risk archetypes.

Study on Knowledge Reuse Based on Knowledge Scenario

IEEE Xplore

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由 Z Bao 著作2007被引用 5 次 — This study models knowledge scenario using scenario tree and gets the similarities of knowledge nodes through matching ontology concepts. Node weight is ...

Knowledge Reuse Process - Stan Garfield - Medium

Medium

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2018年6月5日 — Reusing knowledge in repositories allows decisions to be based on actual experience, large sample sizes, and practical lessons learned. This can ...