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ISRN Software Engineering
Volume 2012 (2012), Article ID 823437, 8 pages
http://dx.doi.org/10.5402/2012/823437
Research Article

Predicting Software Projects Cost Estimation Based on Mining Historical Data

1Computer Information Systems Department, Jordan University of Science and Technology, P.O. Box 3030, Irbid 22110, Jordan
2Computer Information Systems Department, Yarmouk University, P.O. Box 566, Irbid 21163, Jordan

Received 18 November 2011; Accepted 16 January 2012

Academic Editors: J. Cao and O. Greevy

Copyright © 2012 Hassan Najadat et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. M. Shepperd, C. Schofield, and B. Kitchenham, “Effort estimation using analogy,” in Proceedings of the 18th International Conference on Software Engineering, pp. 170–178, Berlin, Germany, 1996.
  2. I. Alsmadi and K. Magel, “Open source evolution analysis,” in Proceedings of the 22nd IEEE International Conference on Software Maintenance (ICSM '06), Philadelphia, Pa, USA, 2006.
  3. B. Boehm, B. Clark, E. Horowitz, R. Madachy, R. Shelby, and C. Westland, “Cost models for future software life cycle process: COCOMO 2.0,” in Annals of Software Engineering Special Volume on Software Process and Product Measurement, J. D. Arther and S. M. Henry, Eds., vol. 1, pp. 45–60, J.C. Baltzer AG, Science Publishers, Amsterdam, The Netherlands, 1995.
  4. K. Ribu, Estimating Object-Oriented Software Projects with Use Cases, M.S. thesis, University of Oslo Department of Informatics, 2001.
  5. T. Gilb, Software Metrics, Chartwell-Bratt, 1976.
  6. B. W. Boehm, Software Engineering Economics, Prentice-Hall, Englewood Cliffs, NJ, USA, 1981.
  7. L. H. Putnam, “A general empirical solution to the macro software sizing and estimating problem,” IEEE Transactions on Software Engineering, vol. 4, no. 4, pp. 345–361, 1978. View at Scopus
  8. V. R. Basili and B. T. Perricone, “Software errors and complexity: an empirical investigation,” Communications of the ACM, vol. 27, no. 1, pp. 42–52, 1984. View at Publisher · View at Google Scholar · View at Scopus
  9. V. Y. Shen, T. J. Yu, S. M. Thebaut, and L. R. Paulsen, “Identifying error-prone software—an empirical study,” IEEE Transactions on Software Engineering, vol. 11, no. 4, pp. 317–324, 1985. View at Scopus
  10. C. Withrow, “Error density and size in Ada software,” IEEE Software, vol. 7, no. 1, pp. 26–30, 1990. View at Publisher · View at Google Scholar · View at Scopus
  11. T. J. McCabe, “A complexity measure,” IEEE Transactions on Software Engineering, vol. SE-2, no. 4, pp. 308–320, 1976. View at Scopus
  12. J. Han and M. Kamber, Data Mining: Concepts and Techniques, Morgan Kaufmann, San Francisco, Calif, USA, 2th edition, 2006.
  13. M. H. Halstead, Elements of Software Science, Elsevier North Holland, 1977.
  14. Y. Y. Fei, Z. Zhi, and Z. S. Chao, “Improvements about Halstead model in software science,” Journal of Computer Applications, pp. 130–132, 2004.
  15. S. R. Chidamber and C. F. Kemerer, “Metrics suite for object oriented design,” IEEE Transactions on Software Engineering, vol. 20, no. 6, pp. 476–493, 1994. View at Publisher · View at Google Scholar · View at Scopus
  16. H. Leung and Z. Fan, Software Cost Estimation, Department of Computing, The Hong Kong Polytechnic University, 2002.
  17. T. Xie, S. Thummalapenta, D. Lo, and C. Liu, “Data mining for software engineering,” Computer, vol. 42, no. 8, pp. 55–62, 2009. View at Publisher · View at Google Scholar · View at Scopus
  18. H. Leung and Z. Fan, Software Cost Estimation, Department of Computing, The Hong Kong Polytechnic University, 2002.
  19. J. D. Aron, “Estimating Resource for Large Programming Systems,” NATO Science Committee, Rome, Italy; October 1969.
  20. G. N. Parkinson, Parkinson's Law and Other Studies in Administration, Houghton-Miffin, Boston, Mass, USA, 1957.
  21. B. W. Boehm, et al., The COCOMO 2.0 Software Cost Estimation Model, American Programmer, 1996.