ABSTRACT
We present an application of a decision support technique for global software monitoring and rescheduling. The technique developed is based on risk analysis. It was initially described in (Marchwicka, 2020). This paper extends (Marchwicka, 2020) by providing a real-world example. It also uses a different set of risk measures and a new ranking method based on Principal Component Analysis (PCA). The technique was applied to a real global software project that was realized by three teams geographically located in two different countries. A post-factum project data was used to illustrate the technique step by step and show how IT project managers can use it to support their decisions. The presented technique is iterative and adaptive, and it allows control of the overall risk level in each control step and allows rescheduling.
