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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 6    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 6,June 2012
"Data Points"- A new proposed software cost estimation metric to estimate software cost which contain huge database
Full Text(PDF, )  PP.499-503  
Author(s)
Mrs. Shefali Trushit Naik
KEYWORDS
— Database, Data Points, Data Point Count, Function Point, Software Cost Estimation, Software Cost Estimation Metric, Software Engineering, Software Estimation.
ABSTRACT
In current era, many software cost estimation metrics are available, such as SLOC, Function Points, Feature Points and Object Points. There are various metrics available to estimate cost of Management Information System, Embedded System, Object-Oriented Systems, etc. The parameters to calculate function points are based mainly on complexity of logic written, no. of inputs, no. of outputs, no. of files and interfaces used and many more. But somehow, the database which includes tables, constraints, complexity of data types, retrieval method, etc. are not being considered to estimate software cost. In this paper, the new metric based on the previous metrics is presented by considering some additional factors. The metric is given a name "Data Points" which must be considered to count cost of systems with small to huge databases. Thus, Data Points should also be considered along with Function Points to calculate the cost of software. Recently, there are many e-governance projects has been developed, which contains rigorous amount of data. We need powerful software which should have proper database to manage these data. To estimate software cost of these types of projects, the Data Point Count (DPC) should be considered. I have tried to present this new concept in this paper
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