Software Development Effort Estimation by Means of Genetic Programming

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

@Article{Chavoya:2013:IJACSA,

• author = "Arturo Chavoya and Cuauhtemoc Lopez-Martin and M. E. Meda-Campana",
• title = "Software Development Effort Estimation by Means of Genetic Programming",
• journal = "International Journal of Advanced Computer Science and Applications",
• year = "2013",
• number = "11",
• volume = "4",
• keywords = "genetic algorithms, genetic programming, SBSE, feedforward neural network, software effort estimation, statistical regression",
• publisher = "The Science and Information (SAI) Organization",
• bibsource = "OAI-PMH server at thesai.org",
• description = "International Journal of Advanced Computer Science and Applications(IJACSA), 4(11), 2013",
• language = "eng",
• oai = "oai:thesai.org:10.14569/IJACSA.2013.041115",
• URL = "http://thesai.org/Downloads/Volume4No11/Paper_15-Software_Development_Effort_Estimation_by_Means_of_Genetic_Programming.pdf",
• URL = "http://dx.doi.org/10.14569/IJACSA.2013.041115",
• DOI = "doi:10.14569/IJACSA.2013.041115",
• size = "8 pages",
• abstract = "In this study, a genetic programming technique was used with the goal of estimating the effort required in the development of individual projects. Results obtained were compared with those generated by a statistical regression and by a neural network that have already been used to estimate the development effort of individual software projects. A sample of 132 projects developed by 40 programmers was used for generating the three models and another sample of 77 projects developed by 24 programmers was used for validating the three models. Results in the accuracy of the model obtained from genetic programming suggest that it could be used to estimate software development effort of individual projects.",

}

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

Citations