Applying Genetic Programming for Estimating Software Development Effort of Short-scale Projects

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Chavoya:2011:ITNG,

• author = "Arturo Chavoya and Cuauhtemoc Lopez-Martin and M. E. Meda-Campana",
• title = "Applying Genetic Programming for Estimating Software Development Effort of Short-scale Projects",
• booktitle = "Eighth International Conference on Information Technology: New Generations (ITNG 2011)",
• year = "2011",
• month = "11-13 " # apr,
• pages = "174--179",
• address = "Las Vegas, NV, USA",
• size = "6 pages",
• abstract = "Statistical regression and neural networks have frequently been used to estimate the development effort of both short and large software projects. In this paper, a genetic programming technique is used with the goal of estimating the effort required in the development of short-scale projects. Results obtained are compared with those generated using the first two techniques. A sample of 132 short-scale projects developed by 40 programmers was used for generating the three models, whereas another sample of 77 projects developed by 24 programmers was used for validating those three models. Accuracy results from the model obtained with genetic programming suggest that it could be used to estimate software development effort of short-scale projects when these projects are developed in a disciplined manner within a development controlled environment.",
• keywords = "genetic algorithms, genetic programming, SBSE, development controlled environment, neural networks, short scale projects, software development effort, statistical regression, software development management",
• DOI = "doi:10.1109/ITNG.2011.37",
• notes = "Also known as \cite{5945228}",

}

Genetic Programming entries for Arturo Chavoya-Pena Cuauhtemoc Lopez-Martin Maria Elena Meda-Campana

Citations