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Genetic Programming as Alternative for Predicting Development Effort of Individual Software Projects
2012
PLoS ONE
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,
doi:10.1371/journal.pone.0050531
pmid:23226305
pmcid:PMC3511534
fatcat:6ncnx7mneneopfaiho6ckho4jq