Modeling, Evaluating, and Predicting IT Human Resources Performance

Konstantina Richter, Reiner R. Dumke

March 6, 2015 by Auerbach Publications
Reference - 272 Pages - 73 B/W Illustrations
ISBN 9781482299922 - CAT# K24490

was $119.95

USD$101.96

SAVE ~$17.99

Add to Wish List
FREE Standard Shipping!

Features

  • Models the human factor as a risk factor in the software engineering process
  • Examines methods to evaluate psychological characteristics to diagnose expected productivity
  • Applies the FMEA (Failure Mode and Effect Analysis) method to major roles in software engineering processes
  • Adapts the Big Five Method for software engineering

Summary

Numerous methods exist to model and analyze the different roles, responsibilities, and process levels of information technology (IT) personnel. However, most methods neglect to account for the rigorous application and evaluation of human errors and their associated risks. This book fills that need.

Modeling, Evaluating, and Predicting IT Human Resources Performance
explains why it is essential to account for the human factor when determining the various risks in the software engineering process. The book presents an IT human resources evaluation approach that is rooted in existing research and describes how to enhance existing approaches through strict use of software measurement and statistical principles and criteria.

Discussing IT human factors from a risk assessment point of view, the book identifies, analyzes, and evaluates the basics of IT human performance. It details the IT human factors required to achieve desired levels of human performance prediction. It also provides a rigorous investigation of existing human factors evaluation methods, including IT expertise and Big Five, in combination with powerful statistical methods, such as failure mode and effect analysis (FMEA) and design of experiment (DoE).

  • Supplies an overview of existing methods of human risk evaluation
  • Provides a detailed analysis of IT role-based human factors using the well-known Big Five method for software engineering
  • Models the human factor as a risk factor in the software engineering process
  • Summarizes emerging trends and future directions

In addition to applying well-known human factors methods to software engineering, the book presents three models for analyzing psychological characteristics. It supplies profound analysis of human resources within the various software processes, including development, maintenance, and application under consideration of the Capability Maturity Model Integration (CMMI) process level five.