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master's thesis
Razvoj parsera za komunikacijsku matricu s fokusom na AutoSAR XML format unutar generatora testnog okruženja
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2022. urn:nbn:hr:200:532159
Romanić, Ivan
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Computer Engineering and Automation
Chair of Automation and Robotics

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

Romanić, I. (2022). Razvoj parsera za komunikacijsku matricu s fokusom na AutoSAR XML format unutar generatora testnog okruženja (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:532159

Romanić, Ivan. "Razvoj parsera za komunikacijsku matricu s fokusom na AutoSAR XML format unutar generatora testnog okruženja." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2022. https://urn.nsk.hr/urn:nbn:hr:200:532159

Romanić, Ivan. "Razvoj parsera za komunikacijsku matricu s fokusom na AutoSAR XML format unutar generatora testnog okruženja." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2022. https://urn.nsk.hr/urn:nbn:hr:200:532159

Romanić, I. (2022). 'Razvoj parsera za komunikacijsku matricu s fokusom na AutoSAR XML format unutar generatora testnog okruženja', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 23 November 2024, https://urn.nsk.hr/urn:nbn:hr:200:532159

Romanić I. Razvoj parsera za komunikacijsku matricu s fokusom na AutoSAR XML format unutar generatora testnog okruženja [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2022 [cited 2024 November 23] Available at: https://urn.nsk.hr/urn:nbn:hr:200:532159

I. Romanić, "Razvoj parsera za komunikacijsku matricu s fokusom na AutoSAR XML format unutar generatora testnog okruženja", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:200:532159

Metadata
TitleRazvoj parsera za komunikacijsku matricu s fokusom na AutoSAR XML format unutar generatora testnog okruženja
Title (english)Development of a communication matrix parser with a focus on the AutoSAR XML format within the test environment generator
AuthorIvan Romanić
MentorRatko Grbić (mentor)
Committee memberRatko Grbić (predsjednik povjerenstva)
Committee memberMarijan Herceg (član povjerenstva)
Committee memberMario Vranješ (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Computer Engineering and Automation)
(Chair of Automation and Robotics)
Osijek
Defense date and country2022-01-11, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Program Engineering
Abstract
Ovaj rad se bavi problematikom razvoja parsera za komunikacijsku matricu u generatoru testnog okruženja (engl. Test Environment Generator - TEG). Parser za komunikacijsku matricu je jedan od glavnih dijelova TEG-a. Parser je zadužen za popunjavanje baze podataka TEG-a s podacima iz pojedinih komunikacijskih matrica koje dobiva u obliku AUTOSAR XML(ARXML) datoteka. Svaka ARXML datoteka koju parser dobiva je jedna komunikacijska matrica. Već postoji rješenje napisano u programskom jeziku Python2. U ovom radu se razvija novo rješenje u C++ programskom jeziku koji ima odreĎene prednosti naspram Python2 programskom jezikom kao što su bolje performanse. Rješenje u C++ funkcionira tako što za ulaz primi jednu ili više ARXML datoteka te ih pretraži i dohvati sve podatke u njima. Podatke spremi u stl mape koje služe kao privremeno spremište podataka. Iz mapa se podaci spremaju u bazu podataka. Za cijeli taj proces se koristila tinyxml2 biblioteka i funkcije koje ona sadrži. Nakon razvoja rješenja su provedeni testovi ispravnosti spremanja podataka u bazu podataka te brzine rada parsera. Pokazalo se da su podaci koji se spremaju u bazu podataka ispravni. Brzina dohvaćanja i spremanja podataka u bazu podataka kod rješenja razvijenog u C++ se usporedila s brzinom dohvaćanja i spremanja podataka u bazu podataka kod rješenja razvijenog u Python2. Pokazalo se da rješenje razvijeno u C++ znatno brže dohvaća i sprema podatke, čak do sto puta brže, nego rješenje razvijeno u Python2.
Abstract (english)
This work is about the problems of the development of a communication matrix parser in a test environment generator. The communication matrix parser is one of the main parts of the test environment generator. The parser's job is filling the test environment generator database with data from individual communication matrices which it gets in the form of AUTOSAR XML files. Every AUTOSAR XML file which the parser gets is a communication matrix. There exists a solution for the problem written in the Python2 programming language. In this work a new language is developed in the C++ programming language which has certain advantages over Python2 like better performance. The solution in C++ functions so that it gets one or more AUTOSAR XML files as an input and searches them to get all the data from them. The data is stored in stl maps which serve as temporary storage of data. The data is further stored in the database. For the whole process, the tinyxml library and its functions were used. After the development of the solution, tests were made to test the correctness of the data stored in the database and the speed of the parser. The stored data was shown to be correct. The speed of getting and storing of data in the database in the C++ solution was compared to the speed of getting and storing of data in the database in the Python2 solution. It was shown that the C++ solution was faster, almost one hundred times faster, in getting and storing data than the Python2 solution.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:532159
Study programmeTitle: Graduate University Study Programme in Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2022-02-14 14:56:54