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Modeling, evaluating, and predicting IT human resources performance /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Richter, Konstantina (Autor), Dumke, Reiner (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton, FL : CRC Press LLC, [2015]
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Modeling, evaluating, and predicting IT human resources performance /  |c Konstantina Richter, Reiner R. Dumke. 
246 3 |a Modeling, evaluating, and predicting information technology human resources performance 
264 1 |a Boca Raton, FL :  |b CRC Press LLC,  |c [2015] 
264 4 |c Ã20 
264 4 |c Ã2015 
300 |a 1 online resource :  |b illustrations 
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505 0 |a 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. 
520 |a 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. --  |c Edited summary from book. 
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