AUTOMATSKA DETEKCIJA INDIKATORA LOŠE DIZAJNIRANOG KODA BAZIRANA NA INFORMACIJAMA EKSTRAHOVANIM IZ TEKSTUALNOG SADRŽAJA

Katarina-Glorija Grujić

doi:10.24867/11BE01Grujic

Katarina-Glorija Grujić

DOI: https://doi.org/10.24867/11BE01Grujic

Ključne reči: Obrada prirodnog jezika, embedding algoritmi, bert, word2vec, loše dizajniran kod

Apstrakt

Radovi koji se bave automatskom detekcijom loše dizajniranog koda (eng. Code smell) već postoje. Međutim, ti radovi uglavnom uzimaju u obzir samo par tipova loše dizajniranog koda i njihova detekcija je jako zavisi od programskog jezika u okviru kog se detektuju. Pored toga, većina radova se oslanja na strukturalne metrike i samim tim potrebno je definisati razne pragove (eng. threshold) kako bi se detektovao indikator loše dizajniranog koda. Samim tim, rezultati mogu varirati u odnosu na projekte nad kojima se detektuje iz razloga što za svaki projekat se mora posebno definisati prag tih metrika. U ovom radu, loše dizajniran kod se detektuje isključivo na onovu informacija dobijenih iz tekstualnog sadržaja - kod. Ukoliko se koristi sam kod aplikacije, nestaje potreba definisanja pragova za razne metrike, jer se obrada vrši nad prirodnim jezikom za svaki projekat posebno.

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