An intelligent dynamic simulation model for designing software development processes

This paper describes a computer-aided software development process design. This is a computerized intelligent tool designed to aid managers of software development projects in planning, managing and controlling the development process of medium to large scale software projects. The application of this computerized tool should help reduce the uncertainties involved in the budget, personnel and schedule planning of software development projects.     

The Use of Sample Weights in Hot Deck Imputation

A common strategy for handling item nonresponse in survey sampling is hot deck imputation, where each missing value is replaced with an observed response from a "similar" unit. We discuss here the use of sampling weights in the hot deck. The naive approach is to ignore sample weights in creation of adjustment cells, which effectively imputes the unweighted sample distribution of respondents in an adjustment cell, potentially causing bias. Alternative approaches have been proposed that use weights in the imputation by incorporating them into the probabilities of selection for each donor. We show by simulation that these weighted hot decks do not correct for bias when the outcome is related to the sampling weight and the response propensity. The correct approach is to use the sampling weight as a stratifying variable alongside additional adjustment variables when forming adjustment cells.