Volume 9 Number 9 (Sep. 2014)
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JSW 2014 Vol.9(9): 2474-2483 ISSN: 1796-217X
doi: 10.4304/jsw.9.9.2474-2483

Action Driven Decision Modeling Framework towards Formulating Software Project Management Tacit Knowledge

Ali Tizkar Sadabadi, Nazri Kama
Department of Software Engineering, Advanced Informatics School, Universiti Teknologi Malaysia, Kuala Lumpur, 54100, Malaysia

Abstract—Managing the tacit knowledge in organizations raises substantial challenges in regards of the associated processes. In software project management decision making has the critical role in this scenario since it defines the manager’s responsibilities and stems from the various sources linked to the process. With the respect of tacit knowledge, the decision making constructs the essential foundation and thereby it needs a reliable framework for modeling of the decision structure. In this paper a conceptual multi-method simulation based framework will be introduced in a modality to cover multiple levels of the decision structure over software project management process. The methods used are integrated towards a multimethod simulation model whereas each of these methods exclusively realizes distinct aspect of software project management. The framework evolves the manner of decision making by a paradigm which establishes the foundation for a tactical level understanding and decision support for practitioners. At the results section an optimal policy for the framework will be presented.

Index Terms—software project management, action driven decision modeling, tacit knowledge, decision support paradigm

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Cite: Ali Tizkar Sadabadi, Nazri Kama, "Action Driven Decision Modeling Framework towards Formulating Software Project Management Tacit Knowledge," Journal of Software vol. 9, no. 9, pp. 2474-2483, 2014.

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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