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Modeling, evaluating, and predicting IT human resources performance / Konstantina Richter, University of Magdeburg, Germany, Reiner R. Dumke, University of Magdeburg, Germany.

By: Contributor(s): Material type: TextTextPublisher: Boca Raton, FL : CRC Press, Taylor & Francis Group, [2015]Copyright date: ©2015Description: xvii, 257 pages : illustrations ; 25 cmContent type:
  • text
  • still image
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781482299922 (hbk.) :
Subject(s): DDC classification:
  • 658.3044 23
LOC classification:
  • HF5549 .R54 2015
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: 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.
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"An Auerbach book.".

Includes bibliographical references and index.

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.

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.

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