Development of Software Tool for Scheduling Risk Analysis
There is a need in software industry for a tool to integrate scheduling risk. This tool will answer a multitude of problems in achieving a higher degree of scheduling accuracy. Successful project requires effective specialized tool for reducing risk. The objective of this study is to develop a project scheduling tool for the estimation of project risk. This study provides empirical evidence that scheduling tool are very much relevant, valid, and applicable in software industry. The output of this study is a tool which employs some of the main distribution methods such as Uniform, Beta, Triangular and Gaussian in order to decrease the risk of project delays. This tool was tested and the results were extracted, analyzed and discussed. The tool was developed using JAVA. It can be recommended that using a different type of probability distributions on project’s activities will give the project schedule more accurate estimations by using the developed tool early in the project development lifecycle.
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