We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

On the Estimationof the Software Effort and Schedule using Constructive Cost Model – II and Functional Point Analysis

by R. Chandrasekaran, R. Venkatesh Kumar
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 44 - Number 9
Year of Publication: 2012
Authors: R. Chandrasekaran, R. Venkatesh Kumar
10.5120/6295-8492

R. Chandrasekaran, R. Venkatesh Kumar . On the Estimationof the Software Effort and Schedule using Constructive Cost Model – II and Functional Point Analysis. International Journal of Computer Applications. 44, 9 ( April 2012), 38-44. DOI=10.5120/6295-8492

@article{ 10.5120/6295-8492,
author = { R. Chandrasekaran, R. Venkatesh Kumar },
title = { On the Estimationof the Software Effort and Schedule using Constructive Cost Model – II and Functional Point Analysis },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 44 },
number = { 9 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 38-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume44/number9/6295-8492/ },
doi = { 10.5120/6295-8492 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:35:08.678113+05:30
%A R. Chandrasekaran
%A R. Venkatesh Kumar
%T On the Estimationof the Software Effort and Schedule using Constructive Cost Model – II and Functional Point Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 44
%N 9
%P 38-44
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cost estimation is an important aspect for making high-quality management decisions in the software industry. It is also related to determining how much effort and schedule are needed to complete the task on time. The challenge is to predict the accuracy of software development effort and schedule. Several models and approaches are available in the literature for such problems. This paper provides a list of software cost estimation techniquesusing Constructive Cost Model – II (COCOMO-II), function points analysis,and comparison studyto validate these models using MRE (Magnitude of Relative Error). We collected and used data from real time projects and also completed projects from one of the major information technology company for the present study.

References
  1. Albrecht, A. J. and Gaffney, J. E. , 1983, Software function, source lines code, and development effort prediction: a software science validation, IEEE Transaction of Software Engineering, Vol. 9, No. 6, pp. 639-648.
  2. Boehm B. W. , 1981, Software Engineering Economics, Englewood Cliffs, Prentice-Hall, New Jersey.
  3. Boehm, B. W. , 1995, Cost models for future software lifecycle processes: COCOMO 2. 0, Ann. SoftwareEng. Vol. 1, pp. 45-60.
  4. Boehm, B. W. , 2000,Software Cost Estimation with COCOMO II, Prentice Hall, New Jersey.
  5. Boehm B. W. , Abts, C. , and Chulani, S. , 2000, Software development cost estimation approaches-A survey, Ann. Software Eng. , Vol. 10, pp. 177-205.
  6. Futrell, R. T. , Shafer D. F. , and Shafer, L. I. , 2002, Quality Software Project Management, Pearson Education Pvt. Ltd. , Delhi.
  7. Hodgkinson, A. C. and P. W. Garratt, 1999, Aneurofuzzy cost estimator, Proc. of the 3rdInternational Conference on Software Engineering and Applications, (SEA'99), pp: 401-406.
  8. IFPUG, 1994,The International Function Point Users Group, Function Point Counting Practices Manual, Release 4. 0, Westerville, Ohio.
  9. Iman A. , and Siew Hock Ow, 2010, A Novel Algorithmic Cost Estimation Model Based on Soft Computing Technique, Journal of Computer Science, Vol. 6, No. 2, pp. 117-125.
  10. Jones. C. , 2007,Estimating software costs: Bringing realism to estimating, 2nd ed. New York: McGraw-Hill.
  11. Kemerer, C. F. , 1993, Reliability of Function Points Measurement: A Field Experiment, Communications of the ACM, Vol. 36, No. 2, pp. 85-97.
  12. Kemerer, C. F. , 1987, An Empirical Validation of Software Cost Estimation Models, Communications of the ACM, Vol. 30, No. 5, pp. 416-429.
  13. Khatibi, V. and Jawawi, D. N. A. , 2011, Software Cost Estimation Methods: A Review, Journal of Emerging Trends in Computing and Information Science, Vol. 2, No. 1, pp. 21-29.
  14. Lavazza, L. and Garavaglia. C. , 2009, Using function points to measure and estimate real-time and embedded software: Experiences and guidelines,Proc. of the 3rd International Symposium on Empirical Software Engineering and Measurement,pp. 100-110.
  15. Musilek, P. , Pedrycz, W. , Nan Sun and Succi, G. ,2002, On the sensitivity of COCOMO II software cost estimation model, Proc. of the Eighth IEEE Symposium on Software Metrics, pp. 13-20.
  16. Putnam, L. H. , 1978. A general empirical solution to themacro software sizing and estimating problem. IEEE Trans. Software Eng. , No. 4, pp. 345-361.
  17. Schofield C. , 1998, Non-Algorithmic effort estimation techniques. Technical Reports,TR98-01, Department of Computing, Bournemouth University, England.
  18. Strike, K. , K. El-Emam and N. Madhavji, 2001,Software cost estimation with incomplete Data,IEEE Trans. Software Eng. , Vol. 27, pp. 890-908.
  19. Sikka, G. , Kaur, A. , and Uddin, M. 2010, Estimating function points: Using machine learning and regression models,Proc. of the 2nd International ConferenceEducation Technology and Computer (ICETC), Vol. 3, pp. 52-56.
  20. Vickers, P. , 2010, An Introduction to Function Point Analysis, Manual of the Function Point User Group, New Jersey, ISBN 978-0-9753783-4-2.
  21. Xishi Huang, Danny Ho, Jing Ren, Luiz F. Capretz, 2005, Improving the COCOMO model using a neuro-fuzzy approach, Journal Applied Soft Computing, Vol. 7, pp. 29-40.
  22. Yahya, M. A. , Ahmad, R. , and Sai Peck Lee, 2008, Effects of Software Process Maturity on COCOMO II's Effort Estimation from CMMI Perspective, Proc. of the IEEE International Conferenceon Research, Innovation and Vision for the Future, RIVF. pp. 255-262.
  23. Yinhuan, Z. , Beizhan, W. , Yilong Z. , andLiang, S. , 2009, Estimation of software projects effort based on function point, Proc. of the 4th International Conference onComputer Science & Education, ICCSE,pp. 941-943.
  24. http://decgradschool. bournemouth. ac. uk/ESERG/ Technical_Reports/TR98-01/TR98-01. ps
Index Terms

Computer Science
Information Sciences

Keywords

Software Cost Estimation Methods Functional Point Analysis Cocomo - Ii Effort Multipliers Scale Factors And Relative Error

Powered by PhDFocusTM