- author = "Y. Shan and R. I. McKay and C. J. Lokan and D. L. Essam",
- title = "Software Project Effort Estimation Using Genetic Programming",
- booktitle = "IEEE 2002 International Conference on Communications, Circuits and Systems and West Sino Expositions",
- year = "2002",
- month = jun # "-1 " # jul,
- volume = "2",
- pages = "1108--1112",
- keywords = "genetic algorithms, genetic programming, grammar-guided genetic programming, software engineering, software cost estimation, SBSE, GGGP background knowledge, GGGP evolutionary computation methods, linear regression, model fitting, software cost prediction, software development cycle management, software engineering modelling, software project cost estimation, software project effort estimation, evolutionary computation, grammars, project management, software development management",
-
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",
-
DOI = "
doi:10.1109/ICCCAS.2002.1178979",
- size = "5 pages",
- 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/ (broken 2012).
Also known as \cite{1178979}",
