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...
Gespeichert in:
Hauptverfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Boca Raton, FL :
CRC Press LLC,
[2015]
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Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | 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. -- |
Beschreibung: | 1 online resource : illustrations |
Bibliographie: | Includes bibliographical references. |
ISBN: | 9781482299939 1482299933 |
Internformat
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246 | 3 | |a Modeling, evaluating, and predicting information technology human resources performance | |
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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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author | Richter, Konstantina Dumke, Reiner |
author_GND | http://id.loc.gov/authorities/names/no00001333 |
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author_role | aut aut |
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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. |
ctrlnum | (OCoLC)903245778 |
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dewey-search | 658.4038 |
dewey-sort | 3658.4038 |
dewey-tens | 650 - Management and auxiliary services |
discipline | Wirtschaftswissenschaften |
format | Electronic eBook |
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spelling | Richter, Konstantina, author. Modeling, evaluating, and predicting IT human resources performance / Konstantina Richter, Reiner R. Dumke. Modeling, evaluating, and predicting information technology human resources performance Boca Raton, FL : CRC Press LLC, [2015] ©20 ©2015 1 online resource : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references. Online resource; title from PDF title page (EBSCO, viewed February 13, 2015). 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. 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. Information technology Management. http://id.loc.gov/authorities/subjects/sh2008006980 Personnel management. http://id.loc.gov/authorities/subjects/sh85100143 Personnel Management https://id.nlm.nih.gov/mesh/D010559 Technologie de l'information Gestion. Personnel Direction. BUSINESS & ECONOMICS Industrial Management. bisacsh BUSINESS & ECONOMICS Management. bisacsh BUSINESS & ECONOMICS Management Science. bisacsh BUSINESS & ECONOMICS Organizational Behavior. bisacsh Information technology Management fast Personnel management fast Dumke, Reiner, author. https://id.oclc.org/worldcat/entity/E39PCjxm3cHP8yk6ddm6RpPQmd http://id.loc.gov/authorities/names/no00001333 has work: Modeling, evaluating, and predicting IT human resources performance (Text) https://id.oclc.org/worldcat/entity/E39PCGR4Tk6J6vFVRC8Bg64dKm https://id.oclc.org/worldcat/ontology/hasWork FWS01 ZDB-4-EBU FWS_PDA_EBU https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=953669 Volltext |
spellingShingle | Richter, Konstantina Dumke, Reiner Modeling, evaluating, and predicting IT human resources performance / 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. Information technology Management. http://id.loc.gov/authorities/subjects/sh2008006980 Personnel management. http://id.loc.gov/authorities/subjects/sh85100143 Personnel Management https://id.nlm.nih.gov/mesh/D010559 Technologie de l'information Gestion. Personnel Direction. BUSINESS & ECONOMICS Industrial Management. bisacsh BUSINESS & ECONOMICS Management. bisacsh BUSINESS & ECONOMICS Management Science. bisacsh BUSINESS & ECONOMICS Organizational Behavior. bisacsh Information technology Management fast Personnel management fast |
subject_GND | http://id.loc.gov/authorities/subjects/sh2008006980 http://id.loc.gov/authorities/subjects/sh85100143 https://id.nlm.nih.gov/mesh/D010559 |
title | Modeling, evaluating, and predicting IT human resources performance / |
title_alt | Modeling, evaluating, and predicting information technology human resources performance |
title_auth | Modeling, evaluating, and predicting IT human resources performance / |
title_exact_search | Modeling, evaluating, and predicting IT human resources performance / |
title_full | Modeling, evaluating, and predicting IT human resources performance / Konstantina Richter, Reiner R. Dumke. |
title_fullStr | Modeling, evaluating, and predicting IT human resources performance / Konstantina Richter, Reiner R. Dumke. |
title_full_unstemmed | Modeling, evaluating, and predicting IT human resources performance / Konstantina Richter, Reiner R. Dumke. |
title_short | Modeling, evaluating, and predicting IT human resources performance / |
title_sort | modeling evaluating and predicting it human resources performance |
topic | Information technology Management. http://id.loc.gov/authorities/subjects/sh2008006980 Personnel management. http://id.loc.gov/authorities/subjects/sh85100143 Personnel Management https://id.nlm.nih.gov/mesh/D010559 Technologie de l'information Gestion. Personnel Direction. BUSINESS & ECONOMICS Industrial Management. bisacsh BUSINESS & ECONOMICS Management. bisacsh BUSINESS & ECONOMICS Management Science. bisacsh BUSINESS & ECONOMICS Organizational Behavior. bisacsh Information technology Management fast Personnel management fast |
topic_facet | Information technology Management. Personnel management. Personnel Management Technologie de l'information Gestion. Personnel Direction. BUSINESS & ECONOMICS Industrial Management. BUSINESS & ECONOMICS Management. BUSINESS & ECONOMICS Management Science. BUSINESS & ECONOMICS Organizational Behavior. Information technology Management Personnel management |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=953669 |
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