Title :
Monte Carlo simulation in risk management in projects using Excel
Author :
Tysiak, Wolfgang ; Sereseanu, Alexander
Author_Institution :
Univ. of Appl. Sci. Dortmund, Dortmund, Germany
Abstract :
In every project, especially in software and IT projects, there is the need to perform an elaborated risk management. One main task that often causes problems is the quantitative risk analysis. In this article we will show how to deal with this by using a well-known standard product: EXCEL.
Keywords :
DP management; Monte Carlo methods; project management; risk analysis; Excel; IT project; Monte Carlo simulation; quantitative risk analysis; risk management; software project; Application software; Condition monitoring; Conferences; Data acquisition; Decision trees; Distribution functions; Process planning; Risk analysis; Risk management; Software performance; Excel; Monte Carlo simulation; PERT; risk management;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2009. IDAACS 2009. IEEE International Workshop on
Conference_Location :
Rende
Print_ISBN :
978-1-4244-4901-9
Electronic_ISBN :
978-1-4244-4882-1
DOI :
10.1109/IDAACS.2009.5342913
