{"id":103996,"date":"2022-05-10T15:36:45","date_gmt":"2022-05-10T13:36:46","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/intel-opublikoval-controlflag-1-2-instrument-dlya-vyyavleniya-anomalij-v-ishodnyh-tekstah"},"modified":"2022-05-10T15:36:45","modified_gmt":"2022-05-10T13:36:46","slug":"intel-opublikoval-controlflag-1-2-instrument-dlya-vyyavleniya-anomalij-v-ishodnyh-tekstah","status":"publish","type":"post","link":"https:\/\/prohoster.info\/es\/blog\/news\/intel-opublikoval-controlflag-1-2-instrument-dlya-vyyavleniya-anomalij-v-ishodnyh-tekstah","title":{"rendered":"Intel ha publicado ControlFlag 1.2, una herramienta para detectar anomal\u00edas en textos fuente","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

La empresa Intel ha publicado la versi\u00f3n 1.2 de la herramienta ControlFlag, que permite detectar errores y anomal\u00edas en los c\u00f3digos fuente utilizando un sistema de aprendizaje autom\u00e1tico entrenado con un gran volumen de c\u00f3digo existente. A diferencia de los analizadores est\u00e1ticos tradicionales, ControlFlag no aplica reglas predefinidas, que son dif\u00edciles de anticipar en todos los posibles escenarios, sino que se basa en la estad\u00edstica del uso de diversas construcciones del lenguaje en un gran n\u00famero de proyectos existentes. El c\u00f3digo de ControlFlag est\u00e1 escrito en C++ y es de c\u00f3digo abierto bajo la licencia MIT. <\/p>\n

La nueva versi\u00f3n es notable por la implementaci\u00f3n de un soporte completo para la detecci\u00f3n de anomal\u00edas y el aprendizaje basado en patrones de c\u00f3digo t\u00edpicos para el lenguaje C++. En versiones anteriores, dicho soporte se hab\u00eda proporcionado para los lenguajes C y PHP. El sistema es adecuado para identificar diferentes tipos de problemas en el c\u00f3digo, desde la detecci\u00f3n de errores tipogr\u00e1ficos y combinaciones de tipos incorrectas hasta la identificaci\u00f3n de anomal\u00edas en las expresiones condicionales 'if' y las verificaciones de valores NULL en punteros que se omiten. El sistema se entrena construyendo un modelo estad\u00edstico del conjunto de c\u00f3digo existente de proyectos abiertos en los lenguajes C, C++ y PHP, publicados en GitHub y en repositorios p\u00fablicos similares. <\/p>\n

Durante la fase de entrenamiento, el sistema identifica patrones t\u00edpicos de construcci\u00f3n en el c\u00f3digo y construye un \u00e1rbol sint\u00e1ctico de relaciones entre estos patrones, reflejando el flujo de ejecuci\u00f3n del c\u00f3digo en el programa. Como resultado, se crea un \u00e1rbol de decisi\u00f3n de referencia que combina la experiencia de desarrollo de todos los c\u00f3digos fuente analizados. Para el c\u00f3digo evaluado, se realiza un proceso similar de identificaci\u00f3n de patrones, que se comparan con el \u00e1rbol de decisi\u00f3n de referencia. Grandes discrepancias con ramas cercanas indican la existencia de una anomal\u00eda en el patr\u00f3n revisado. <\/p>\n

\"Intel<\/center>
\n
Fuente: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Intel \u043e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043b\u0430 \u0432\u044b\u043f\u0443\u0441\u043a \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u044f ControlFlag 1.2, \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044e\u0449\u0435\u0433\u043e \u0432\u044b\u044f\u0432\u043b\u044f\u0442\u044c \u043e\u0448\u0438\u0431\u043a\u0438 \u0438 \u0430\u043d\u043e\u043c\u0430\u043b\u0438\u0438 \u0432 \u0438\u0441\u0445\u043e\u0434\u043d\u044b\u0445 \u0442\u0435\u043a\u0441\u0442\u0430\u0445, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f \u0441\u0438\u0441\u0442\u0435\u043c\u0443 \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f, \u043d\u0430\u0442\u0440\u0435\u043d\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u0443\u044e \u043d\u0430 \u0431\u043e\u043b\u044c\u0448\u043e\u043c \u043e\u0431\u044a\u0451\u043c\u0435 \u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u044e\u0449\u0435\u0433\u043e \u043a\u043e\u0434\u0430. \u0412 \u043e\u0442\u043b\u0438\u0447\u0438\u0435 \u043e\u0442 \u0442\u0440\u0430\u0434\u0438\u0446\u0438\u043e\u043d\u043d\u044b\u0445 \u0441\u0442\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0430\u043d\u0430\u043b\u0438\u0437\u0430\u0442\u043e\u0440\u043e\u0432, ControlFlag \u043d\u0435 \u043f\u0440\u0438\u043c\u0435\u043d\u044f\u0435\u0442 \u0433\u043e\u0442\u043e\u0432\u044b\u0445 \u043f\u0440\u0430\u0432\u0438\u043b, \u0432 \u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u0442\u0440\u0443\u0434\u043d\u043e \u043f\u0440\u0435\u0434\u0443\u0441\u043c\u043e\u0442\u0440\u0435\u0442\u044c \u0432\u0441\u0435 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u044b\u0435 \u0432\u0430\u0440\u0438\u0430\u043d\u0442\u044b, \u0430 \u043e\u0442\u0442\u0430\u043b\u043a\u0438\u0432\u0430\u0435\u0442\u0441\u044f \u043e\u0442 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0438 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f \u0432\u0441\u0435\u0432\u043e\u0437\u043c\u043e\u0436\u043d\u044b\u0445 \u044f\u0437\u044b\u043a\u043e\u0432\u044b\u0445 \u043a\u043e\u043d\u0441\u0442\u0440\u0443\u043a\u0446\u0438\u0439 \u0432 \u0431\u043e\u043b\u044c\u0448\u043e\u043c \u0447\u0438\u0441\u043b\u0435 \u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u044e\u0449\u0438\u0445 […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":103997,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-103996","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47Intel ha publicado ControlFlag 1.2, una herramienta para la detecci\u00f3n de anomal\u00edas en los c\u00f3digos fuente | ProHoster","description":"La empresa Intel ha publicado la versi\u00f3n 1.2 de la herramienta ControlFlag, que permite detectar errores y anomal\u00edas en los c\u00f3digos fuente utilizando un sistema de aprendizaje autom\u00e1tico entrenado con un gran volumen de datos 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