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Book Cover
Author Richter, Konstantina, author

Title Modeling, evaluating, and predicting IT human resources performance / Konstantina Richter, Reiner R. Dumke
Published Boca Raton, FL : CRC Press LLC, [2015]


Description 1 online resource : illustrations
Contents 1. Introduction -- 2. Software risk management and human factors -- 3. Software engineering, team, and responsibilities -- 4. Discovery of IT human factors -- 5. Definition and evaluation of IT human factors -- 6. Model development for IT human performance prediction -- 7. Experimental validation of predictive model for IT human performance -- 8. Conclusions and future directions
Summary This book explains why it is essential to account for the human factor when determining the various risks in the software engineering process. It 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. It 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; applies the FMEA (Failure Mode and Effect Analysis) method to major roles in software engineering processes; models the human factor as a risk factor in the software engineering process; summarizes emerging trends and future directions; presents three models for analyzing psychological characteristics. -- Edited summary from book
Bibliography Includes bibliographical references
Notes Online resource; title from PDF title page (EBSCO, viewed February 13, 2015)
Subject Information technology -- Management.
Personnel management.
Personnel Management
BUSINESS & ECONOMICS -- Industrial Management.
BUSINESS & ECONOMICS -- Management Science.
BUSINESS & ECONOMICS -- Organizational Behavior.
Information technology -- Management
Personnel management
Form Electronic book
Author Dumke, Reiner, author.
ISBN 9781482299939
Other Titles Modeling, evaluating, and predicting information technology human resources performance