Article
Genetic Programming as Alternative for Predicting Development Effort of Individual Software Projects
Fecha
2013Registro en:
10.1371/journal.pone.0050531
Autor
Espinoza, B.
Martinez-Ibarra, J.A.
Villalobos, G.
De La Torre, P.
Laclette, J.P.
Martinez-Hernandez, F.
Institución
Resumen
The triatomines vectors of Trypanosoma cruzi are principal factors in acquiring Chagas disease. For this reason, increased knowledge of domestic transmission of T. cruzi and control of its insect vectors is necessary. To contribute to genetic knowledge of North America Triatominae species, we studied genetic variations and conducted phylogenetic analysis of different triatomines species of epidemiologic importance. Our analysis showed high genetic variations between different geographic populations of Triatoma mexicana, Meccus longipennis, M. mazzottii, M. picturatus, and T. dimidiata species, suggested initial divergence, hybridation, or classifications problems. In contrast, T. gerstaeckeri, T. bolivari, and M. pallidipennis populations showed few genetics variations. Analysis using cytochrome B and internal transcribed spacer 2 gene sequences indicated that T. bolivari is closely related to the Rubrofasciata complex and not to T. dimidiata. Triatoma brailovskyi and T. gerstaeckeri showed a close relationship with Dimidiata and Phyllosoma complexes. Copyright " 2013 by The American Society of Tropical Medicine and Hygiene.",,,,,,"10.4269/ajtmh.2012.12-0105",,,"http://hdl.handle.net/20.500.12104/41719","http://www.scopus.com/inward/record.url?eid=2-s2.0-84874066020&partnerID=40&md5=6980abba5f0a717507b8520693361ec2",,,,,,"2",,"American Journal of Tropical Medicine and Hygiene",,"275 284",,"88",,"Scopus WOS",,,,,,,,,,,,"Genetic variation of North American triatomines (Insecta: Hemiptera: Reduviidae): Initial divergence between species and populations of chagas disease vector",,"Article"
"43487","123456789/35008",,"Chavoya, A., Department of Information Systems, CUCEA, Universidad de Guadalajara, Zapopan, Jalisco, Mexico; Lopez-Martin, C., Department of Information Systems, CUCEA, Universidad de Guadalajara, Zapopan, Jalisco, Mexico; Andalon-García, I.R., Department of Information Systems, CUCEA, Universidad de Guadalajara, Zapopan, Jalisco, Mexico; Meda-Campa na, M.E., Department of Information Systems, CUCEA, Universidad de Guadalajara, Zapopan, Jalisco, Mexico",,"Chavoya, A. Lopez-Martin, C. Andalon-García, I.R. Meda-Campana, M.E.",,"2012",,"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. " 2012 Chavoya et al.