Development of the Decision Support System for Software Project Cost Estimation

Author(s):  
Qingzhang Chen ◽  
Shuojin Fang ◽  
Wenfu Wang
2021 ◽  
Vol 5 (01) ◽  
pp. 12-22
Author(s):  
Rayinda Pramuditya Soesanto ◽  
Afrin Fauzya Rizana

Wedding organizers, as one of the creative industries, often participate in a trade show as one of the marketing mediums. Many wedding-related trades show events are held every year. But the cost to participate in one trade show event is quite expensive and increases from time to time. Thus, before deciding to participate in a trade show, it is important to evaluate whether the trade show events are recommended to join or not. The purpose of this study is to design a decision support system that will help the wedding organizer to decide their participation in a trade show. The decision model was constructed using AHP and TOPSIS methods. There are seven factors considered in the model, i.e., tradeshow location, reputation and professionalism of the organizer, cost estimation, trade show prestige, tenant reputation, time of the event, the attractiveness of the event. By using the AHP method, the priority weight of each factor was calculated. Moreover, the weight obtained will be used in developing a decision model combined with the TOPSIS method. The decision support system was developed afterward by using the SCRUM method. The feature of the system is discussed in the paper.


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


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