Machine Learning and Data Science Techniques applied to Intel Historical SDL (Security Development Lifecycle). Project Execution Data to Discover Improvement Insights

dc.contributorVillalón-Turrubiates, Iván E.
dc.contributorViveros-Wacher, Andrés
dc.creatorTéllez-Salmón, Ximena
dc.date.accessioned2022-09-01T22:38:22Z
dc.date.accessioned2022-10-14T12:11:37Z
dc.date.available2022-09-01T22:38:22Z
dc.date.available2022-10-14T12:11:37Z
dc.date.created2022-09-01T22:38:22Z
dc.date.issued2022-07
dc.identifierTéllez-Salmón, X. (2022). Machine Learning and Data Science Techniques applied to Intel Historical SDL (Security Development Lifecycle). Project Execution Data to discover improvement insights. Trabajo de obtención de grado, Maestría en Sistemas Computacionales. Tlaquepaque, Jalisco: ITESO.
dc.identifierhttps://hdl.handle.net/11117/8165
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4235599
dc.languageeng
dc.publisherITESO
dc.rightshttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-ND-2.5-MX.pdf
dc.titleMachine Learning and Data Science Techniques applied to Intel Historical SDL (Security Development Lifecycle). Project Execution Data to Discover Improvement Insights
dc.typeinfo:eu-repo/semantics/masterThesis


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