Pretraživanje Python programskog koda predstavljenog dubokim značajkama na osnovi prirodnim jezikom zadane funkcionalnosti

master's thesis

• Title (english): Python Code Deep-Searching Based on the Functionality Description Given in Natural Language
• Author: Marko Pacadi
• Mentor: Marin Šilić (mentor)
• Committee member: Marin Šilić (predsjednik povjerenstva)
• Committee member: Siniša Srbljić (član povjerenstva)
• Committee member: Goran Delač (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2019-07-08, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

U radu je opisana primjena dubokog učenja za pretragu Python izvornih kodova na osnovu korisničkog upita. Objašnjeni su osnovni principi dubokog učenja i predložena je arhitektura za rješavanje zadanog problema. Ostvarena je implementacija s kojom je demonstrirana funkcionalnost dubokog modela. Na kraju rada predložene su mjere za analizu implementacije. Analizom mjera pokazana je uspješnost izvođenja implementiranog modela dubokog učenja.

Abstract (english)

This paper discribes the application of deep learning to demonstrate search engine for Python source codes based on user query. Basic principles of deep learning have been explained and problem solving architecture is proposed. An implementation of search engine was implemented demonstrating the functionality of the deep model. At the end of this paper, measures for analysis of this implementation were presented. The analysis of the measures showed the success performace of implemented deep learning model.

• Keywords: duboko učenje; umjetne neuronske mreže; povratne neuronske mreže; pretraga koda
• Keywords (english): deep learning; artificial neural networks; recurrent neural network; code search
• Language: croatian
• URN:NBN: urn:nbn:hr:168:287290
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2020-01-07 20:53:45