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Multi-method Simulation Approach for Software Project Management Training in-process Decision Support System: a Conceptual-operative Framework
Author(s) -
Ali Tizkar Sadabadi,
Nazri Kama,
Faizul Azli Abd Ridzab
Publication year - 2021
Publication title -
international journal of computers and communications
Language(s) - English
Resource type - Journals
ISSN - 2074-1294
DOI - 10.46300/91013.2021.15.6
Subject(s) - computer science , partially observable markov decision process , process (computing) , point (geometry) , decision support system , discrete event simulation , software , event (particle physics) , management science , systems engineering , process management , artificial intelligence , simulation , markov chain , markov model , engineering , machine learning , mathematics , physics , geometry , quantum mechanics , programming language , operating system
Software project management (SPM) is a discipline that comprises of different topics, practice and theories. There are two dimensions in the knowledge of SPM, theoretical or concepts of SPM and; practical or experience of SPM. These two dimensions although grow separately but come across at one point that is experiential knowledge of SPM. To present these dimensions through a proper training, a practitioner needs to have a proper view on SPM process. In this paper we present a new framework for practicing SPM through a distinct simulation technique to bring on an in-process decision support system, supporting the proper training approach. The framework developed based on three different methods of simulation technique, discrete event simulation (DES), system dynamics (SD) and partially observable Markov decision process (POMDP).1

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