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.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献