scholarly journals Multi-method Simulation Approach for Software Project Management Training in-process Decision Support System: a Conceptual-operative Framework

2021 ◽  
Vol 15 ◽  
pp. 27-35
Author(s):  
Ali Tizkar Sadabadi ◽  
Nazri Kama ◽  
Faizul Azli Abd Ridzab

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

2009 ◽  
pp. 2461-2471
Author(s):  
Cezary Orlowski ◽  
Zdzislaw Kowalczuk

The article discusses how the knowledge of management and artificial intelligence can be used for controlling the budgets and schedules ofsoftware projects. The first part of this paper gives an outline of the problems involved in software project management regarding the planning and control of processes and project teams. Next, an overview of changes in management is presented, followed by a description of a method for how these ideas can be used to solve software engineering problems. Consequently, an example is presented of a decision-support system, designed to aid project-team managers in planning and controlling budgets and schedules and helping the team members to adjust.


2013 ◽  
Vol 82 (7) ◽  
pp. 604-612 ◽  
Author(s):  
Angelica Te-Hui Hao ◽  
Lee-Pin Wu ◽  
Ajit Kumar ◽  
Wen-Shan Jian ◽  
Li-Fang Huang ◽  
...  

2017 ◽  
Vol 24 (1) ◽  
pp. 61-77 ◽  
Author(s):  
Nabil Semaan ◽  
Michael Salem

Purpose The construction industry today is one of the biggest industries in the world. As projects continue to grow in complexity, project management continues to evolve. Contractor selection is a difficult task that owners and project managers face. Although previously researchers have worked on the subject of contractor selection, a comprehensive decision support system for contractor selection has not yet been developed. Recent reports of major delays and cost overruns in mega projects highlight the need for a model that is able to be flexible and comprehensive becomes evident. The paper aims to discuss these issues. Design/methodology/approach The research focuses on obtaining insights from field experts using both quantitative and qualitative methods. Then, a model was developed in the light of the data collected. Accordingly, the model was tested on a case study. Findings This paper presents a model for contractor selection that is wholesome in its take on the topic. The model incorporates both managerial and technical aspects of the problem. The model was tested on a case study and it was proven to be feasible in real world applications. The contractor selection decision support system serves the needs of both academics and industry managers, as an integral part of project management. Originality/value The model presented in this paper is innovative in its take on the problems. MCDA tools have been uniquely modified in this paper to cater to the needs of the selection problem while accounting for the criteria hierarchy that incorporates aspects that are instrumental for proper evaluation of a contractor’s likelihood of success.


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