Modeling, Evaluating, and Predicting IT Human Resources Performance

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.

存在許多方法來模擬和分析資訊科技（IT）人員的不同角色、責任和流程層級。然而，大多數方法忽略了對人為錯誤及其相關風險的嚴格應用和評估。本書填補了這一需求。

《建模、評估和預測IT人力資源表現》解釋了在確定軟體工程過程中的各種風險時，考慮人為因素的重要性。本書提出了一種IT人力資源評估方法，該方法根植於現有研究，並描述了如何通過嚴格遵守軟體測量和統計原則和標準來增強現有方法。

從風險評估的角度討論IT人因，本書確定、分析和評估了IT人員表現的基本要素。它詳細介紹了實現期望的人員表現預測所需的IT人因。它還提供了對現有人因評估方法的嚴格研究，包括IT專業知識和Big Five，結合強大的統計方法，如失效模式和效應分析（FMEA）和實驗設計（DoE）。

此外，除了將著名的人因方法應用於軟體工程之外，本書還提出了三種分析心理特徵的模型。它深入分析了各種軟體過程中的人力資源，包括開發、維護和應用，並考慮了能力成熟度模型整合（CMMI）的五個過程層級。