Software Project Effort Estimation Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.2031

@InProceedings{shan:2002:ICCCAS,
  author =       "Y. Shan and R. I. McKay and C. J. Lokan and 
                 D. L. Essam",
  title =        "Software Project Effort Estimation Using Genetic
                 Programming",
  booktitle =    "Proceedings of International Conference on
                 Communications Circuits and Systems",
  year =         "2002",
  keywords =     "genetic algorithms, genetic programming,
                 grammar-guided genetic programming, software
                 engineering, software cost estimation, SBSE",
  URL =          "http://www.cs.adfa.edu.au/~shanyin/publications/soft.pdf",
  broken =       "http://www.cs.adfa.edu.au/~shanyin/publications/soft.ps.Z",
  URL =          "http://citeseer.ist.psu.edu/545689.html",
  abstract =     "Knowing the estimated cost of a software project early
                 in the development cycle is a valuable asset for
                 management. In this paper, an evolutionary computation
                 method, Grammar Guided Genetic Programming (GGGP), is
                 used to fit models, with the aim of improving the
                 prediction of software development costs. Valuable
                 results are obtained, significantly better than those
                 obtained by simple linear regression. In this research,
                 GGGP, because of its flexibility and the ability of
                 incorporating background knowledge, also shows great
                 potential in being applied in other software
                 engineering modelling problems.",
  notes =        "(ICCCAS'2002), June 29-July 1 2002, Chengdu, Sichuan,
                 PR of China, sponsored by IEEE, NSFC, CIC, CIE, CCPIT,
                 UESTC. For details, visit:
                 http://icccas02.uestc.edu.cn/.",
}

Genetic Programming entries for Yin Shan R I (Bob) McKay C J Lokan Daryl Essam