文章基本信息

标题：Size Estimation of OLAP Systems
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作者：Madhu Bhan ; T V Suresh Kumar ; K.Rajanikanth 等
期刊名称：Computer Science & Information Technology
电子版ISSN：2231-5403
出版年度：2013
卷号：3
期号：6
页码：431-441
DOI：10.5121/csit.2013.3649
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Software size estimation at early stages of project development holds great significance to meet the competitive demands of software industry. Software size represents one of the most interesting internal attributes which has been used in several effort/cost models as a predictor of effort and cost needed to design and implement the software. The whole world is focusing towards object oriented paradigm thus it is essential to use an accurate methodology for measuring the size of object oriented projects. The class point approach is used to quantify classes which are the logical building blocks in object oriented paradigm. In this paper, we propose a class point based approach for software size estimation of On-Line Analytical Processing (OLAP) systems. OLAP is an approach to swiftly answer decision support queries based on multidimensional view of data. Materialized views can significantly reduce the execution time for decision support queries. We perform a case study based on the TPC-H benchmark which is a representative of OLAP System. We have used a Greedy based approach to determine a good set of views to be materialized. A fter finding the number of views, the class point approach is used to estimate the size of an OLAP System The results of our approach are validated
关键词：Class point; Materialized views; OLAP Systems; Software size; performance