"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 |
|
References |
|
[1] V. Bozhikova, M. Stoeva, “An Approach for Software Cost Estimation” ,
International Conference on Computer Systems and TechnologiesCompSysTech’10
[2] S. Grimstad and M. Jorgensen, “Framework for the Analysis of
Software Cost Estimation Accuracy”, ISESE ’06, September 21-22,
2006, Rio de Janeiro, Brazilb#
[3] N. Mittas and L. Angelis, “Combining Regression and Estimation
by Analogy in a Semi-parametric Model for Software Cost
Estimation”, ESEM ’08, October 9-10, 2008, Kaiserslautern,
Germanyb#
[4] M. Burger and A. Zeller, “Minimizing Reproduction of Software
Failures”, ISSTA ’11, July 17-21, 2011, Toronto, ON, Canadab#
[5] V. Nguyen, L. huang and B. Boehm, “An Analysis of Trends in
Productivity and Cost Drivers Over Years”, PROMISE ’11,
September 20-21, 2011, Banff, Canadab#
[6] B. Vasilescu, A. Serebrenik and M. Brand, “By No Means : A
Study on Aggregating Software Metrics”, WETSoM, May 24, 2011,
Waikiki, Honolulu, HI, USAb#
[7] K. Lind and R. Heldal, “On the Relationship Between Functional
Size and Software Code Size”, WETSoM ’10, May 4, 2010, Cape
Town, South Africab#
[8] P. Ferreira and M. Barros, “Traceability Between Function Point
and Source Code”, TEFSE ’11, May 23, 2011, Honolulu, HI, USAb#
[9] L. Lavazza and C. Garavaglia, “Using Function Points to Measure
and Estimate Real-Time and Embedded Software : Experiences and
Guidelines”, Third International Symposium on Empirical Software
Engineering and Measurement”b#
[10] Dr. V. Saxena and M. Shrivastava, “Performance of Function
Point Analysis Through UML Modeling”, SIGSOFT Software
Engineering Notes, March 2009, Volume 34, Number 2b#
[11] P. Keil, D. Paulish and R. Sangwan, “Cost Estimation for Global
Software Development”, EDSER ’06, May 27, 2006, Shanghai,
Chainab#
[12] I. Learman, “Cost Benefits Analysis in the Design and Evaluation of
Information Systems”, Fall Joint Conference, 1971b#
[13] C. Garcia and C. Hirata, “Integrating Functional Metrics,
COCOMO II and Earned Value Analysis for Software Projects
using PMBoK”, SAC ’08, March 16-20, 2008, Fortaleza, Ceara,
Brazilb#
[14] Y. Zheng, K. Wang and J. Xue, “An Extension of COCOMO II for the BMethod”, EDSER ’06, May 27, 2006, Shanghai, Chainab#
[15] W. Jiamthubthugsin and D. Sutivong, “Portfolio Management of
Software Development Projects using COCOMO II”, ICSE ’06, May 20-
28, 2006, Shanghai, Chainab#
[16] M. Ayyildiz, O. Kalipsiz and S. Yavuz, “ A Metric-Set and Model
Suggestion for Better Software Project Cost Estimation”, World Academy
of Science, Engineering and Technology 23 2006b#
[17] Book : E. Mills, “Software Metrics”, SEI Curriculum Module SEI-CM-12-
1.1, December, 1988b#
[18] Book : C. J. Date, “An Introduction to Database Systems”, Seventh
Edition, Pearson Education Asiab#
|
|
|