A Relational Database Complexity Computing Model

Author:

Lin Xue Yun1

Affiliation:

1. Fujian Normal University

Abstract

In this paper we have proposed a model to compute the complexity of small relational database application developed in MS Access. The model was built using different database objects. These objects were categorized based upon the basis of weights assigned to their complexity determining factors. We have implemented our model in a tool called SMARtS. We used our model to compute complexity of eight database projects. To evaluate our model, we analyzed the calculated complexity and actual effort. We found that our model successfully captured the complexity of different database projects. Correlation analysis has shown that complexities computed by SMARtS and the actual efforts are strongly correlated.

Publisher

Trans Tech Publications, Ltd.

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference8 articles.

1. Sana Abiad, Ramzi A Haraty, and Nashat Mansour., (2000) Software Metrics for Small Database Applications", ACM SAC, 00 Como, Italy, March 19-21 2000, PP. 866-870.

2. Justus S, Lyakutti K, ( 2007) Assessing the Object-level Behavioral Complexity in Object Relational Databases, IEEE International Conference on Software-Science, Technology and Engineering. 30-31 Oct. 2007 PP. 48 - 56.

3. Microsoftfice Online viewed on19 November 2008, www. office. microsoft. com/en- us/access/HA102330311033. aspx?pid=CH100645701033.

4. Elmasri and Navathe. (2006) Fundamentals of Database Systems, Addison Wesley; 5th edition.

5. Kautz K. 1999, Making sense of measurement for small organizations, IEEE Software, March / April 1999, pp.14-20.

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