A utility approach to determine productivity measures for a computer science department

IF 1.2 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
C. R. White
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引用次数: 0

Abstract

Multi–attribute utility theory is commonly applied to decision–making problems in which the possible decision consequences are characterised by more than one attribute. This study developed utility functions to provide a measure of effectiveness for project ranking and ultimately to enhance productivity in the computer science department of a large organisation. Steps in developing utility functions are summarised, and questions requiring answers are presented. The computer science model illustrated in this study uses twenty–one attributes in the major categories of services, security, personnel, and development. This model is illustrated in exhibits, and its use, flexibility, and implementation are discussed. Conclusions are drawn as to the value of using such a model as an aid to decision making.
一种确定计算机科学系生产力指标的实用方法
多属性效用理论通常应用于可能的决策结果具有多个属性特征的决策问题。本研究开发了效用函数,为项目排名提供有效性度量,并最终提高大型组织计算机科学系的生产力。总结了开发实用函数的步骤,并提出了需要回答的问题。本研究中说明的计算机科学模型使用了服务、安全、人员和发展等主要类别中的21个属性。该模型如图所示,并对其使用、灵活性和实现进行了讨论。结论是使用这种模型作为辅助决策的价值。
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来源期刊
INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY
INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
2.80
自引率
45.50%
发文量
49
期刊介绍: IJCAT addresses issues of computer applications, information and communication systems, software engineering and management, CAD/CAM/CAE, numerical analysis and simulations, finite element methods and analyses, robotics, computer applications in multimedia and new technologies, computer aided learning and training. Topics covered include: -Computer applications in engineering and technology- Computer control system design- CAD/CAM, CAE, CIM and robotics- Computer applications in knowledge-based and expert systems- Computer applications in information technology and communication- Computer-integrated material processing (CIMP)- Computer-aided learning (CAL)- Computer modelling and simulation- Synthetic approach for engineering- Man-machine interface- Software engineering and management- Management techniques and methods- Human computer interaction- Real-time systems
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