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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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Holdings
Item type Current library Home library Call number Copy number Status Date due Barcode
Books Books Chinhoyi University of Technology Libraries Chinhoyi University of Technology Libraries HF 5549 RIC (Browse shelf(Opens below)) C.045515 Available BK0092090

"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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