Quantifying IT forecast quality

Quantifying IT forecast quality

In this paper, we showed how to quantify the quality of IT forecasts based on Boehm’s cone of uncertainty and DeMarco’s Estimating Quality Factor. With these, we support decision making by providing critical information on IT forecasting quality to IT governors. We illustrated that plotting forecast to actual ratios against a predefined referential conical shape reveals potential biases, for in...

Quantifying forecast quality of IT business value

This article discusses how to quantify the forecasting quality of IT business value. We address a common economic indicator often used to determine the business value of project proposals, the Net Present Value (NPV). To quantify the forecasting quality of IT business value, we develop a generalized method that is able to account for asymptotic cases and negative valued entities. We assess the ...

IT Forecast Quality in Measure and Number

Quantifying IT estimation risks

A statistical method is proposed for quantifying the impact of factors that influence the quality of the estimation of costs for IT-enabled business projects. We call these factors risk drivers as they influence the risk of the misestimation of project costs. The method can effortlessly be transposed for usage on other important IT key performance indicators (KPIs), such as schedule misestimati...

Quantifying quality.

Scientifi c research on the process of peer review and editorial decision-making is rather like trying to grasp the intangible. There is a certain amount that can be quantifi ed, such as the number of characteristics of the paper (specifi ed by the journal) which the assessor rates. But as with so many numerical formulations, what is expressed in numbers may leave out something of what is reall...