dc.creator | Riquelme Santos, José Cristóbal | es |
dc.creator | Ruiz Sánchez, Roberto | es |
dc.creator | Aguilar Ruiz, Jesús Salvador | es |
dc.creator | Rodríguez García, Daniel | es |
dc.date.accessioned | 2023-05-04T10:10:33Z | |
dc.date.available | 2023-05-04T10:10:33Z | |
dc.date.issued | 2009-07 | |
dc.identifier.citation | Riquelme Santos, J.C., Ruiz Sánchez, R., Aguilar Ruiz, J.S. y Rodríguez García, D. (2009). Finding Defective Software Modules by Means of Data Mining Techniques. IEEE Latin America Transactions, 7 (3), 377-382. https://doi.org/10.1109/TLA.2009.5336637. | |
dc.identifier.issn | 1548-0992 (online) | es |
dc.identifier.uri | https://hdl.handle.net/11441/145362 | |
dc.description.abstract | The characterization of defective modules in software engineering remains a challenge. In this work, we use data mining techniques to search for rules that indicate modules with a high probability of being defective. Using datasets from the PROMISE repository1, we first applied feature selection to
work only with those attributes from the datasets capable of predicting defective modules. Then, a genetic algorithm search for rules characterising subgroups with a high probability of being defective. This algorithm overcomes the problem of unbalanced datasets where the number of non-defective samples in the dataset highly outnumbers the defective ones. | es |
dc.description.sponsorship | Comisión Interministerial de Ciencia y Tecnología TIN2007-68084-C02-00 | es |
dc.format | application/pdf | es |
dc.format.extent | 6 | es |
dc.language.iso | eng | es |
dc.publisher | IEEE | es |
dc.relation.ispartof | IEEE Latin America Transactions, 7 (3), 377-382. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Defect detection and defect prediction in software modules | es |
dc.subject | data mining | es |
dc.title | Finding Defective Software Modules by Means of Data Mining Techniques | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.projectID | TIN2007-68084-C02-00 | es |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/5336637 | es |
dc.identifier.doi | 10.1109/TLA.2009.5336637 | es |
dc.journaltitle | IEEE Latin America Transactions | es |
dc.publication.volumen | 7 | es |
dc.publication.issue | 3 | es |
dc.publication.initialPage | 377 | es |
dc.publication.endPage | 382 | es |
dc.contributor.funder | Comisión Interministerial de Ciencia y Tecnología (CICYT). España | es |