Systems dynamics model for decision support in risk assessment in software projects

2015 ◽  
Vol 27 (12) ◽  
pp. 976-989 ◽  
Author(s):  
Jhoney da. Silva Lopes ◽  
José Luis Braga ◽  
Moisés A. Resende Filho
Author(s):  
Fereshteh Mafakheri ◽  
Michèle Breton ◽  
Satyaveer Chauhan

Recent studies show that the capacity of organizations to cope with risk is usually neglected in project risk analysis (see for instance Bannerman, 2008 in the context of software projects). Using single-dimension risk assessment approaches, vulnerability, or conversely competence of the organization, is not taken into account in the decision to or not to undertake a risky project. This paper proposes a two-dimensional multi criteria approach with the aim of providing a more complete risk assessment decision support to project managers, by jointly considering the degree of risk of projects along with the risk management capability of organizations.


2021 ◽  
pp. 1-16
Author(s):  
Tingrong Qin ◽  
Guoliang Ma ◽  
Dongyang Li ◽  
Xinjie Zhou ◽  
Xingjie He ◽  
...  

Abstract A ship's perception of risk is an important basis for collision avoidance. To improve such perception, several risk measurement parameters on the ship domain are determined, including the approach factor, the time to domain violation (TDV) and the possible collision domain. Then, a risk hierarchy prewarning (RHP) model based on the violation detection of a ship domain is proposed, in which a two-level alarm scheme is adopted accordingly. A low-intensity alarm will be activated by reaching the minimum approach factor and the TDV threshold, and a high-intensity alarm will be activated by the factor of the possible collision domain and the TDV threshold. Subsequently, a novel guard zone in ARPA radar utilising the RHP model has been developed to establish a ship's risk perception system for officers on watch at sea. The model proposed in this paper can not only enhance the veracity of risk assessment around our own ship, but also be used as a decision support system for collision avoidance.


2018 ◽  
Vol 71 ◽  
pp. 833-846 ◽  
Author(s):  
Arun Kumar Sangaiah ◽  
Oluwarotimi Williams Samuel ◽  
Xiong Li ◽  
Mohamed Abdel-Basset ◽  
Haoxiang Wang

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