{"id":100141,"date":"2021-05-11T22:22:44","date_gmt":"2021-05-11T20:22:44","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/ibm-otkryl-codenet-dlya-sistem-mashinnogo-obucheniya-transliruyushhih-i-proveryayushhih-kod"},"modified":"2021-05-11T22:22:44","modified_gmt":"2021-05-11T20:22:44","slug":"ibm-otkryl-codenet-dlya-sistem-mashinnogo-obucheniya-transliruyushhih-i-proveryayushhih-kod","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sl\/blog\/news\/ibm-otkryl-codenet-dlya-sistem-mashinnogo-obucheniya-transliruyushhih-i-proveryayushhih-kod","title":{"rendered":"IBM je otvorio CodeNet za sisteme ma\u0161inskog u\u010denja koji prevode i proveravaju kod.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Kompanija IBM je predstavila inicijativu CodeNet, usmerenu na obezbe\u0111ivanje istra\u017eiva\u010dima skupa podataka koji omogu\u0107avaju eksperimentisanje sa primenom metoda ma\u0161inskog u\u010denja za kreiranje prevodilaca sa jednog programskog jezika na drugi, kao i generatora i analizatora koda. CodeNet uklju\u010duje kolekciju od 14 miliona primera koda, koji re\u0161avaju 4053 tipi\u010dna programerska zadatka. U zbiru kolekcija broji oko 500 miliona redova koda i obuhvata 55 programskih jezika, kako savremenih jezika poput C++, Jave, Pythona i Go, tako i zastarelih, uklju\u010duju\u0107i COBOL, Pascal i FORTRAN. Radovi projekta \u0161ire se pod licencom Apache 2.0, a skupovi podataka planiraju se distribuirati u obliku javnog dobra. <\/p>\n

Primeri su obezbe\u0111eni anotacijama i implementiraju identi\u010dne algoritme na razli\u010ditim programskim jezicima. Pretpostavlja se da \u0107e predlo\u017eeni skup pomo\u0107i obuci sistema ma\u0161inskog u\u010denja i razvoju inovacija u oblasti prevo\u0111enja i ma\u0161inske analize koda, sli\u010dno tome kako je Baza podataka anotiranih slika ImageNet pomogla razvoju sistema prepoznavanja slika i ma\u0161inskog vida. Kao jedan od glavnih izvora formiranja kolekcije pominju se razna takmi\u010denja u programiranju. <\/p>\n

Za razliku od tradicionalnih prevodilaca koji su zasnovani na pravilima transformacije, sistemi ma\u0161inskog u\u010denja mogu da hvataju i uzimaju u obzir kontekst kori\u0161\u0107enja koda. Pri prevo\u0111enju sa jednog programskog jezika na drugi, kontekst je podjednako va\u017ean kao i pri prevo\u0111enju sa jednog ljudskog jezika na drugi. Upravo nedostatak uzimanja u obzir konteksta ote\u017eava prevo\u0111enje koda sa zastarelih jezika, poput COBOL-a. <\/p>\n

Imanje velike baze realizacija algoritama na razli\u010ditim jezicima pomo\u0107i \u0107e u stvaranju univerzalnih sistema ma\u0161inskog u\u010denja, koji umesto direktne transkripcije izme\u0111u konkretnih jezika, manipuli\u0161u apstraktnijim prikazom koda, nezavisnim od konkretnih programskih jezika. Takav sistem mo\u017ee se koristiti kao prevodilac, koji prevodi prosledjeni kod na bilo kojem od podr\u017eanih jezika u svoje interno apstraktno predstavljanje, iz kojeg se zatim mo\u017ee generisati kod na mnogim jezicima. <\/p>\n

Sistem \u0107e tako\u0111e mo\u0107i da vr\u0161i dvostrane konverzije. Na primer, u bankama i dr\u017eavnim institucijama jo\u0161 uvek se koriste projekti na zastarjelom jeziku COBOL. Prevodilac zasnovan na sistemu ma\u0161inskog u\u010denja mo\u0107i \u0107e da konvertuje kod na COBOL-u u predstavljanje na jeziku Java, a po potrebi da prevede deo na Javi nazad u kod na COBOL-u. <\/p>\n

Pored prevo\u0111enja izme\u0111u jezika, spominju se i druge oblasti primene CodeNet-a, poput kreiranja pametnih sistema za pretragu koda i automatizacije otkrivanja klonova, kao i razvoj optimizatora i sistema za automatsku korekciju koda. Konkretno, primeri predstavljeni u CodeNet-u su oboga\u0107eni metapodacima koji opisuju rezultate testiranja performansi, rezultantnu veli\u010dinu programa, potro\u0161nju memorije i stanje koje omogu\u0107ava prepoznavanje ispravnog koda od koda sa gre\u0161kama (da bi se razlikovao ispravan kod od neta\u010dnog, u kolekciju su posebno uklju\u010deni primeri sa gre\u0161kama, \u010diji udeo iznosi 29,5%). Sistem ma\u0161inskog u\u010denja mo\u017ee uzeti u obzir ove metapodatke za generisanje najoptimalnijeg koda ili za prepoznavanje regresija u analiziranom kodu (sistem mo\u017ee razumeti da je u prosle\u0111enom kodu algoritam realizovan neoptimalno ili sadr\u017ei gre\u0161ke).
\n
Izvor: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f IBM \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b\u0430 \u0438\u043d\u0438\u0446\u0438\u0430\u0442\u0438\u0432\u0443 CodeNet, \u043d\u0430\u0446\u0435\u043b\u0435\u043d\u043d\u0443\u044e \u043d\u0430 \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u0438\u0435 \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044f\u043c \u043d\u0430\u0431\u043e\u0440\u0430 \u0434\u0430\u043d\u043d\u044b\u0445, \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044e\u0449\u0438\u0445 \u044d\u043a\u0441\u043f\u0435\u0440\u0438\u043c\u0435\u043d\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0441 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u0435\u043c \u043c\u0435\u0442\u043e\u0434\u043e\u0432 \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0434\u043b\u044f \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u044f \u0442\u0440\u0430\u043d\u0441\u043b\u044f\u0442\u043e\u0440\u043e\u0432 \u0438\u0437 \u043e\u0434\u043d\u043e\u0433\u043e \u044f\u0437\u044b\u043a\u0430 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0432 \u0434\u0440\u0443\u0433\u043e\u0439, \u0430 \u0442\u0430\u043a\u0436\u0435 \u0433\u0435\u043d\u0435\u0440\u0430\u0442\u043e\u0440\u043e\u0432 \u0438 \u0430\u043d\u0430\u043b\u0438\u0437\u0430\u0442\u043e\u0440\u043e\u0432 \u043a\u043e\u0434\u0430. 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