Over the last four decades, computer systems have required increasingly complex software development and maintenance support. The marriage of software engineering, the application of engineering principals to produce economical and reliable software, to software development tools and methods promised to simplify software development while improving accuracy and speed, tools have evolved that use computer graphics to represent concepts that generate code from integrated design specifications. Practicing Software Engineering in the 21st Century addresses the tools and techniques utilized when developing and implementing software engineering practices into computer systems.

This book explores model selection using decision trees based on discretized data, and the accompanying implications this has for decision-makers. Model selection is a non-trivial exercise with a large impact on decision-making. An information criterion for selecting between competing decision tree models is presented along with a method for quantifying the opportunity costs of choosing a specific decision tree. After the initial information criterion development a real world example from an American insurance company call center is presented. The example includes the development of a program to automate data discretization, decision tree creation, and decision tree selection. A decision tree is chosen and critically analyzed from a managerial decision-making point of view. Actual call center performance data is used as input data and results are identified and presented in a way that is advantageous to managers.