A machine learning technique for predicting the productivity of practitioners from individually developed software projects

Abstract

A new species of the stenopodid shrimp Odontozona is described from deep-water off the west coast of Mexico. It is dis-tinguished from the three other species of the genus known in the area, from O. rubra Wicksten, 1982, and O. foresti Hen-drickx, 2002, by the absence of a series of spines on the posterior half of the carapace, behind the post-cervical groove, and from O. spongicola (Alcock & Anderson, 1899) by the presence of spines on the ventral margin of somites 1-5 (smooth in O. spongicola) and by the much slender third pair of pereiopods in the new species. A new record is provided for O. foresti, and the first male specimen, the third specimen on record, is compared with the female holotype. Copyright " 2014 Magnolia Press.",,,,,,"10.11646/zootaxa.3835.3.3",,,"http://hdl.handle.net/20.500.12104/39040","http://www.scopus.com/inward/record.url?eid=2-s2.0-84904309010&partnerID=40&md5=4fcc434b5a2d4ee5d259f2c952a8d405

http://ovidsp.ovid.com/ovidweb.cgi?T=JS&CSC=Y&NEWS=N&PAGE=fulltext&D=prem&AN=25081456",,,,,,"3",,"Zootaxa",,"338

348",,"3835",,"Scopus

WOS

MEDLINE",,,,"Index Medicus",,"East Pacific; New record; New species; Odontozona; Stenopodidae",,,,,,"A new deep-water species of Odontozona (Decapoda: Stenopodidea: Stenopodidae) from the East Pacific, and new record of O. foresti Hendrickx, 2002",,"Article" "40807","123456789/35008",,"Duran-Limon, H.A., Information Systems Department, CUCEA, University of Guadalajara, Periferico Norte # 799Núcleo Belenes, Zapopan, Jalisco, Mexico; Siller, M., CINVESTAV, Unidad Guadalajara, Av. Científica 1145Col el bajío, Zapopan, Jalisco, Mexico; Hernandez-Ochoa, M., CINVESTAV, Unidad Guadalajara, Av. Científica 1145Col el bajío, Zapopan, Jalisco, Mexico; Quevedo, C., CINVESTAV, Unidad Guadalajara, Av. Científica 1145Col el bajío, Zapopan, Jalisco, Mexico; Robles, V., CINVESTAV, Unidad Guadalajara, Av. Científica 1145Col el bajío, Zapopan, Jalisco, Mexico",,"Duran-Limon, H.A.

Siller, M.

Hernandez-Ochoa, M.

Quevedo, C.

Robles, V.",,"2014",,"A new class of applications can now be envisaged with the emergence of both mobile ad hoc computing and ubiquitous computing, which imposes a number of new unsolved challenges. Examples of such applications include automatic car control systems and air traffic control systems. Applications of such kind have real-time constraints and are characterised by being highly mobile and proactive, i.e. able to operate without human intervention. Moreover, this kind of applications requires multiple-source multicasting. However, current approaches mainly focus on offering support for continuous flows in low mobile environments where single-source multicasting is assumed. In this paper, we present the QoSMMANET (QoS Management in Mobile Ad hoc Networks) framework, which offers QoS support for real-time event systems in highly mobile ad hoc environments. Our approach is validated by a number of experiments carried out in the ns-2 network simulator.",,,,,,,,,"http://hdl.handle.net/20.500.12104/39028","http://www.scopus.com/inward/record.url?eid=2-s2.0-84919656960&partnerID=40&md5=def69d703ebec83b87704a8753bf612a",,,,,,"3",,"Journal of Applied Research and Technology",,"343

358",,"12",,"Scopus

WOS

ScIELO",,,,,,"QoS framework; Routing protocol; Traffic differentiation and bandwidth allocation protocol / Engineering, Electrical & Electronic; Engineering, Multidisciplinary",,,,,,"A network QoS framework for real-time event systems in highly mobile Ad-Hoc environments",,"Article" "44679","123456789/35008",,"Garzon, P., Departamento de Investigacion Cientifica, Facultad de Medicina, Universidad de Guadalajara, Guadalajara, Mexico; Navarro-Ruiz, A., Departamento de Investigacion Cientifica, Facultad de Medicina, Universidad de Guadalajara, Guadalajara, Mexico; Dominguez-Rodriguez, J.R., Departamento de Investigacion Cientifica, Facultad de Medicina, Universidad de Guadalajara, Guadalajara, Mexico; García-Estrada, J., Departamento de Investigacion Cientifica, Facultad de Medicina, Universidad de Guadalajara, Guadalajara, Mexico; Gonzalez-Hita, M., Departamento de Investigacion Cientifica, Facultad de Medicina, Universidad de Guadalajara, Guadalajara, Mexico; Bastidas-Ramirez, B.E., Departamento de Investigacion Cientifica, Facultad de Medicina, Universidad de Guadalajara, Guadalajara, Mexico; Roman-Maldonado, S., Departamento de Investigacion Cientifica, Facultad de Medicina, Universidad de Guadalajara, Guadalajara, Mexico; Navarro-Ruiz, I., Departamento de Investigacion Cientifica, Facultad de Medicina, Universidad de Guadalajara, Guadalajara, Mexico",,"Garzon, P.

Navarro-Ruiz, A.

Dominguez-Rodriguez, J.R.

García-Estrada, J.

Gonzalez-Hita, M.

Bastidas-Ramirez, B.E.

Roman-Maldonado, S.

Navarro-Ruiz, I.",,"1990",,"[No abstract available]",,,,,,,,,"http://hdl.handle.net/20.500.12104/42900","http://www.scopus.com/inward/record.url?eid=2-s2.0-0025078462&partnerID=40&md5=ea886998aaccac2f672afe74c91a1b0e",,,,,,"1",,"Archivos de Investigacion Medica",,"57

63",,"21",,"Scopus

WOS",,,,,,,,,,,,"Modified anticonvulsant screening procedure. Phenitoin and phenobarbital reevaluation [PROCEDIMIENTO MODIFICADO PARA TAMIZAJE ANTICONVULSIONANTE. REEVALUACION DEL DIFENILHIDANTOINATO SODICO Y EL FENOBARBITAL]",,"Article" "40798","123456789/35008",,"Mendoza-Fernández, S., Department of Chemical Engineering, University of Guadalajara, Marcelino García Barragan 1451, Guadalajara, Jalisco. C.P. 44430, Mexico; Jasso-Gastinel, C.F., Department of Chemical Engineering, University of Guadalajara, Marcelino García Barragan 1451, Guadalajara, Jalisco. C.P. 44430, Mexico; González-Ortiz, L.J., Department of Chemistry (CUCEI), University of Guadalajara, Marcelino García Barragan 1451, Guadalajara, Jalisco. C.P. 44430, Mexico",,"Mendoza-Fernandez, S.

Jasso-Gastinel, C.F.

Gonzalez-Ortiz, L.J.",,"2004",,"Polymer blends can be obtained from two-phase polymer particles synthesized by seeded emulsion polymerization, whose properties depend on their particle morphology. Here, a mathematical simulator is presented to predict the development of particle morphology during the seeded stage and after the reaction (aging period). Two experimental systems previously reported showing as the only difference the type of initiator used (AIBN or KPS) were simulated, as an example, and an acceptable agreement between predictions and experimental morphologies was obtained.",,,,,,,,,"http://hdl.handle.net/20.500.12104/39019","http://www.scopus.com/inward/record.url?eid=2-s2.0-2442548820&partnerID=40&md5=972219dc7584783116e79bd49acddbe0",,,,,,,,"Annual Technical Conference - ANTEC, Conference Proceedings",,"2704

2708",,"2",,"Scopus",,,,,,"Particle morphology; Seeded emulsion polymerization; Simulator",,,,,,"A model to predict the development of particle morphology in seeded emulsion polymerizations",,"Conference Paper" "40787","123456789/35008",,"Lopez-Martin, C., Information Systems Department CUCEA, Universidad de GuadalajaraGuadalajara, Jalisco, Mexico; Chavoya, A., Information Systems Department CUCEA, Universidad de GuadalajaraGuadalajara, Jalisco, Mexico; Meda-Campana, M.E., Information Systems Department CUCEA, Universidad de GuadalajaraGuadalajara, Jalisco, Mexico",,"Lopez-Martin, C.

Chavoya, A.

Meda-Campana, M.E.",,"2014",,"Context: Productivity management of software developers is a challenge in Information and Communication Technology. Predictions of productivity can be useful to determine corrective actions and to assist managers in evaluating improvement alternatives. Productivity prediction models have been based on statistical regressions, statistical time series, fuzzy logic, and machine learning. Goal: To propose a machine learning model termed general regression neural network (GRNN) for predicting the productivity of software practitioners. Hypothesis: Prediction accuracy of a GRNN is better than a statistical regression model when these two models are applied for predicting productivity of software practitioners who have individually developed their software projects. Method: A sample obtained from 396 software projects developed between the years 2005 and 2011 by 99 practitioners was used for training the models, whereas a sample of 60 projects developed by 15 practitioners in the first months of 2012 was used for testing the models. All projects were developed based upon a disciplined development process within a controlled environment. The accuracy of the GRNN was compared against that of a multiple regression model (MLR). The criteria for evaluating the accuracy of these two models were the Magnitude of Error Relative to the estimate and a t-paired statistical test. Results: Prediction accuracy of an GRNN was statistically better than that of an MLR model at the 99% confidence level. Conclusion: An GRNN could be applied for predicting the productivity of practitioners when New and Changed lines of code, reused code, and programming language experience of practitioners are used as independent variables. " 2014 IEEE.