Özet Yazılım testinde uygulanabilecek en basit yaklaşım verilen bir kod parçasındaki bütün olasılıkları test etmektir. Bu durum zaman ve bütçe kısıtları nedeniyle pratikte imkansızdır. Yazılım hata tahmini yöntemleri proje yöneticileri tarafından, test aşamasında, kısıtlı olan kaynakları efektif bir şekilde dağıtmak için kullanılmaktadır. Bu alandaki çalışmalar özellikle 2005 yılından itibaren ...

Robust optimization is one of typical approaches to optimize a system with incomplete information and considerable uncertainty. The standard robust optimization problem minimizes maximum cost by focusing on the considerable worst case. In some application field, it is certainly important to consider the worst case among all considerable cases, but this min-max criterion tends to lead an overly ...

We propose methods for robust discrete optimization in which the objective function has cost components that are subject to independent and bounded perturbations. Motivated by risk management practice, we approximate the problem of optimization of VaR, a widely used downside risk measure by introducing four approximating models that origininate in robust optimization. We show that all four mode...

Financial decision making involves uncertainty and consequently risk. It is well known that asset return forecasts and risk estimates are inherently inaccurate. The inaccuracy in forecasting and estimation can be addressed through the specification of rival scenarios. In this paper, we extend the multi-period mean-variance portfolio optimization and asset liability management problems to the ro...

Existing instruments for measuring risk perception have focused on an abstract version of the concept, without diving into the the details of what forms the perception of likelihood and impact. However, as information security risks become increasingly complex and difficult for users to understand, this approach may be less feasible. The average user may be able to imagine the worst case scenar...

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