Collecting and analyzing some simple measures on your application development project will provide a set of building blocks that can be used to manage your projects. This data will improve your success rate and reduce project development risk. Here are some simple measures that can improve your development efforts.

Correctly judging project needs and scope is a challenging task. Here are some techniques and tools for accurately predicting project deliverables.

A major challenge for software professionals interpreting data is deciding what's real and what isn't, what matters and what doesn't. A useful way to think about it is that you are trying to find the signal in the noise produced by random variation and error. Here is advice on how to extract the useful information from the "noise."

A Bayesian Belief Net is a graphical network that represents probabilistic relationships among variables. Here is a studied look at this causal modeling technique as applied to defect prediction and resource estimation.