Theoretical Validation of Object-Oriented Metrics for Data Warehouse Multidimensional Model

被引：0
作者：
Gosain, Anjana [1 ]
Gupta, Rakhi [1 ]
机构：
[1] Guru Gobind Singh Indraprastha Univ, Univ Sch Informat & Commun Technol, New Delhi 110078, India
来源：
PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON FRONTIERS IN INTELLIGENT COMPUTING: THEORY AND APPLICATIONS, FICTA 2016, VOL 1 | 2017年 / 515卷
关键词：
Object-oriented metrics; Object-oriented data warehouse; Theoretical validation; Zuse's framework; SOFTWARE ENGINEERING MEASUREMENT; EMPIRICAL VALIDATION; CONCEPTUAL MODELS; UNDERSTANDABILITY;
D O I：
10.1007/978-981-10-3153-3_68
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Metrics are commonly used to guide the designers to build quality data warehouse models. Recently, researchers have defined various object-oriented metrics for data warehouse conceptual model to access their quality. These metrics require theoretical and empirical validation to confirm their applicability in real time. Empirical validation of object-oriented metrics has already been carried out but theoretical validation has not been taken into account. In this paper, theoretical validation for object-oriented metrics using Zuse's framework is presented to show that these metrics may be considered as strong measures for evaluating quality of object-oriented conceptual models of data warehouse.
引用
收藏
页码：681 / 691
页数：11
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