Genetic Programming as Alternative for Predicting Development Effort of Individual Software Projects

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@Article{Chavoya:2012:PLOS,

• author = "Arturo Chavoya and Cuauhtemoc Lopez-Martin and Irma R. Andalon-Garcia and M. E. Meda-Campana",
• title = "Genetic Programming as Alternative for Predicting Development Effort of Individual Software Projects",
• journal = "PLoS ONE",
• year = "2012",
• volume = "7",
• number = "11",
• pages = "e50531",
• month = nov # " 30",
• keywords = "genetic algorithms, genetic programming, SBSE",
• annote = "The Pennsylvania State University CiteSeerX Archives",
• bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
• language = "en",
• oai = "oai:CiteSeerX.psu:10.1.1.1035.6477",
• rights = "Metadata may be used without restrictions as long as the oai identifier remains attached to it.",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1035.6477",
• URL = "http://europepmc.org/backend/ptpmcrender.fcgi?accid%3DPMC3511534%26blobtype%3Dpdf",
• URL = "https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0050531.pdf",
• DOI = "doi:10.1371/journal.pone.0050531",
• size = "10 pages",
• abstract = "Statistical and genetic programming techniques have been used to predict the software development effort of large software projects. In this paper, a genetic programming model was used for predicting the effort required in individually developed projects. Accuracy obtained from a genetic programming model was compared against one generated from the application of a statistical regression model. A sample of 219 projects developed by 71 practitioners was used for generating the two models, whereas another sample of 130 projects developed by 38 practitioners was used for validating them. The models used two kinds of lines of code as well as programming language experience as independent variables. Accuracy results from the model obtained with genetic programming suggest that it could be used to predict the software development effort of individual projects when these projects have been developed in a disciplined manner within a development-controlled environment.",

}

Genetic Programming entries for Arturo Chavoya-Pena Cuauhtemoc Lopez-Martin Irma R Andalon-Garcia Maria Elena Meda-Campana

Citations