A New Statistical Model to Estimate Information System Contingency Budget

Junwei Zeng, Fajie Wei, Haitao Xiong, Anying Liu

Abstract


Development of an information system is a complex process, which expose to a great number of risks.Hence, the high failure rates long associated with information system projects, despite advances in techniques for information technology development, suggest that organizations need to improve their ability to identify and to manage associated risks. To improve the risk management in information system development projects, a pragmatic procedure is suggested to determine the size of a project's contingency plan budget at any specified level of certainty. Considering the interaction among risk factors, a method based on common risk factors and copula functions is used to model and quantify positive dependence between risks.

 

DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5438


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Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

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