Modeling, evaluating, and predicting IT human resources performance, Konstantina Richter, Reiner R. Dumke
Type
Label
Modeling, evaluating, and predicting IT human resources performance, Konstantina Richter, Reiner R. Dumke
Language
eng
Illustrations
illustrations
Index
no index present
Literary Form
non fiction
Main title
Modeling, evaluating, and predicting IT human resources performance
Nature of contents
dictionaries
Oclc number
1989061052
Responsibility statement
Konstantina Richter, Reiner R. Dumke
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. Modeling, Evaluating, and Predicting IT Human Resources Performance explains why it is essential to account for the human factor when determining the various risks in the software engineering process. The book 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. 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. It also provides a rigorous investigation of existing human factors evaluation methods, including IT expertise and Big Five, in combination with powerful statistical methods, such as failure mode and effect analysis (FMEA) and design of experiment (DoE). 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 Models the human factor as a risk factor in the software engineering process Summarizes emerging trends and future directions In addition to applying well-known human factors methods to software engineering, the book presents three models for analyzing psychological characteristics. It supplies profound analysis of human resources within the various software processes, including development, maintenance, and application under consideration of the Capability Maturity Model Integration (CMMI) process level five
Table Of Contents
Introduction ; Motivation; Structure of the Book; References; ; Software Risk Management and Human Factors ; Overview of Risk Management Development; Incompleteness of Risk Assessment Methods; Risk Management Summary and Further Research Motivation; Human Factors in Software Engineering; Summary of Human Factors; References; ; Software Engineering, Team, and Responsibilities ; Software Engineering Background; Software Team; Summary of Software Engineering and Software Roles; References; ; Discovery of IT Human Factors ; Classical Failure Mode and Effect Analysis; Adopted FMEA for Software Personnel; Summary of Software Human Factors FMEA; References; ; Definition and Evaluation of IT Human Factors ; Five Personal Features; Matching Big Five Traits with IT Human Factors; Evaluation Test; Summary of Definition and Evaluation of IT Human Factors; References; ; Model Development for IT Human Performance Prediction ; Experimental Design and Analysis; Algorithm for Conducting Experimental Design; Development of the IT Human Performance Prediction Model; Developed Model for IT Human Performance Prediction; Summary of Predictive Model Development; References; ; Experimental Validation of Predictive Model for IT Human Performance ; Actual Model Application; Software Human Factors Test Web Application; Summary of Experimental Model Validation; References; ; Conclusions and Future Directions