A Theory of Information Quality and its Implementation in Systems Engineering

被引：5
|
作者：
Grenn, Michael W. [1 ,2 ]
Sarkani, Shahram [3 ]
Mazzuchi, Thomas [3 ]
机构：
[1] US Dept Def, Technol Directorate Def Technol Secur Adm DTSA, Washington, DC 20301 USA
[2] George Washington Univ, Washington, DC 20052 USA
[3] George Washington Univ, Dept Engn Management & Syst Engn, Washington, DC 20052 USA
来源：
IEEE SYSTEMS JOURNAL | 2015年 / 9卷 / 04期
关键词：
Engineering effort; entropy; information; quality; requirements trends; requirements; simulation; systems engineering (SE); theory; volatility;
D O I：
10.1109/JSYST.2013.2290737
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper introduces a theory of information quality to explain requirements engineering behavior observed during the systems engineering (SE) process. Requirements are technical statements that inform system design, implementation, and integration. The meaning of requirements information is relevant to the SE problem. The requirements entropy framework (REF) implements the theory and accounts for the meaning of requirements information in terms of its cumulative quality. The requirements quality distribution reflects the cumulative quality and determines the requirements entropy, the number of possibilities, and the additional information needed to reach the desired end state. The desired end state is occupied by requirements having all specified quality attributes. The requirements entropy, uncertainty, and needed information decrease as engineering effort is input into the process. The impact of added, revised, and deleted requirements can be estimated or measured from the change in entropy, uncertainty, or information. Results from computer simulation experiments suggest that the REF is a useful method for monitoring requirements trends, forecasting when the desired end state will be reached, and estimating requirements engineering effort for system development programs.
引用
收藏
页码：1129 / 1138
页数：10
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