Bültmann & Gerriets
Modeling, Evaluating, and Predicting IT Human Resources Performance
von Konstantina Richter, Reiner R. Dumke
Verlag: Taylor & Francis Ltd
Taschenbuch
ISBN: 978-1-138-89454-9
Erschienen am 31.01.2024
Sprache: Englisch
Format: 234 mm [H] x 156 mm [B]
Gewicht: 480 Gramm
Umfang: 276 Seiten

Preis: 64,50 €
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Klappentext
Biografische Anmerkung
Inhaltsverzeichnis

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 information technology (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.



Konstantina Richter earned her master's degree at the University of Magdeburg after receiving her bachelor's degree at the Technical University of Varna, Bulgaria. Her master's thesis investigated the testing of aspect-oriented programs and helped to earn her the award for best student of the year in 2007. From 2008 to 2012 she was a PhD student in the software engineering research group at the University of Magdeburg. She has participated in several international conferences on software process, software testing, software measurement, and software quality in Rome, Nara, and Las Vegas, among others. Her PhD thesis on human resources performance is the basis of this book and involved validation in worldwide IT companies including Siemens, Bosch, German Telekom, VW, Alcatel, IBM, and so on. Currently she works in the IT department at the financial government center of Sachsen-Anhalt in Magdeburg.
Reiner R. Dumke is a retired professor from the Otto-von-Guericke-University of Magdeburg with software engineering as his research field. He is one of the founders of the Software Measurement Laboratory (SML@b) of the computer science department at the University of Magdeburg and coeditor of the Software Measurement News Journal. He is the leader of the German Interest Group on software metrics and works as a member of the COSMIC, DASMA, MAIN, IEEE, and ACM communities. He received a diploma degree (MS) in mathematics in 1970 followed in 1980 by a PhD dissertation in computer science on efficiency of database projects. He is the author and editor of more than 30 books about programming techniques, software metrics, metrics tools, software engineering foundations, component-based software development, and web engineering.



Introduction. Software Risk Management and Human Factors. Software Engineering, Team, and Responsibilities. Discovery of IT Human Factors. Definition and Evaluation of IT Human Factors. Model Development for IT Human Performance Prediction. Experimental Validation of Predictive Model for IT Human Performance. Conclusions and Future Directions.


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