risk response planning is one of the main phases in the project risk management and has major impacts on the success of a large-scale project. since projects are unique, and risks are dynamic through the life of the projects, it is necessary to formulate responses of the important risks. the conventional approaches tend to be less effective in dealing with the impreciseness of risk response pl...

in today world of internet, it is important to feedback the users based on what they demand. moreover, one of the important tasks in data mining is classification. today, there are several classification techniques in order to solve the classification problems like genetic algorithm, decision tree, bayesian and others. in this article, it is attempted to classify researchers to “expert” and “no...

Design defects affect project quality and hinder development maintenance. Consequently, experts need to minimize these in software systems. A promising approach is apply the concepts of refactoring at higher level abstraction based on UML diagrams instead code level. Unfortunately, we find literature many that are described textually there no consensus how decide if a particular design violates...

Abstract Varying coefficient models are a flexible extension of generic parametric whose coefficients functions set effect-modifying covariates instead fitted constants. They capable achieving higher model complexity while preserving the structure underlying models, hence generating interpretable predictions. In this paper we study use gradient boosted decision trees as those coefficient-decidi...