Daniel
Rodríguez García
Profesor/a Titular Universidad
José Cristobal
Riquelme Santos
Publications by the researcher in collaboration with José Cristobal Riquelme Santos (13)
2017
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Predicción de módulos defectuosos como un problema de optimización multiobjetivo
Actas de las 22nd Jornadas de Ingenier�a del Software y Bases de Datos, JISBD 2017
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Predicción de módulos defectuosos como un problema de optimización multiobjetivo
Actas de las 22nd Jornadas de Ingenier�a del Software y Bases de Datos, JISBD 2017
2014
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Preliminary comparison of techniques for dealing with imbalance in software defect prediction
ACM International Conference Proceeding Series
2013
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A study of subgroup discovery approaches for defect prediction
Information and Software Technology, Vol. 55, Núm. 10, pp. 1810-1822
2012
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Searching for rules to detect defective modules: A subgroup discovery approach
Information Sciences, Vol. 191, pp. 14-30
2011
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Multiobjective Simulation Optimisation in Software Project Management
GECCO-2011: PROCEEDINGS OF THE 13TH ANNUAL GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE
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Multiobjective simulation optimisation in software project management
Genetic and Evolutionary Computation Conference, GECCO'11
2010
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Knowledge Representation and Applied Decision Making (KREAM)
ICCS 2010 - INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE, PROCEEDINGS
2009
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Finding defective software modules by means of data mining techniques
IEEE Latin America Transactions
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Searching for rules to find defective modules in unbalanced data sets
Proceedings - 1st International Symposium on Search Based Software Engineering, SSBSE 2009
2008
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Finding defective modules from highly unbalanced datasets
ADIS 2008 - Apoyo a la Decision en Ingenieria del Software, Evento Realizado en el Marco de las 13th Jornadas de Ingenieria del Software y Bases de Datos, JISBD 2008
2006
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A two-stage zone regression method for global characterization of a project database
Advances in Machine Learning Applications in Software Engineering (IGI Global), pp. 1-13
2002
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Generation of management rules through system dynamics and evolutionary computation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)