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master's thesis
Optimizacija potrebne programske memorije kod automatski generiranih testova za Autosar RTE
2020. urn:nbn:hr:200:771113
Vlašiček, Kristijan
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Programming Languages and Systems

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Vlašiček, K. (2020). Optimizacija potrebne programske memorije kod automatski generiranih testova za Autosar RTE (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:200:771113

Vlašiček, Kristijan. "Optimizacija potrebne programske memorije kod automatski generiranih testova za Autosar RTE." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2020. https://urn.nsk.hr/urn:nbn:hr:200:771113

Vlašiček, Kristijan. "Optimizacija potrebne programske memorije kod automatski generiranih testova za Autosar RTE." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2020. https://urn.nsk.hr/urn:nbn:hr:200:771113

Vlašiček, K. (2020). 'Optimizacija potrebne programske memorije kod automatski generiranih testova za Autosar RTE', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 19 April 2025, https://urn.nsk.hr/urn:nbn:hr:200:771113

Vlašiček K. Optimizacija potrebne programske memorije kod automatski generiranih testova za Autosar RTE [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2020 [cited 2025 April 19] Available at: https://urn.nsk.hr/urn:nbn:hr:200:771113

K. Vlašiček, "Optimizacija potrebne programske memorije kod automatski generiranih testova za Autosar RTE", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:200:771113

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Metadata
TitleOptimizacija potrebne programske memorije kod automatski generiranih testova za Autosar RTE
Title (english)Program memory optimization for automatically generated tests for Autosar RTE
AuthorKristijan Vlašiček
MentorZdravko Krpić (mentor)
Committee memberZdravko Krpić (predsjednik povjerenstva)
Committee memberMario Vranješ (član povjerenstva)
Committee memberDenis Vranješ (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Programming Languages and Systems)
Osijek
Defense date and country2020-09-30, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Program Engineering
Abstract
Tehnološkim napretkom u automobilskoj industriji javlja se potreba za sve većim brojem elektroničkih komponenti i odgovarajućih upravljačkih programa, odnosno programske podrške. Izgradnja programske podrške temelji se na AUTOSAR standardu, dok se za potrebnu elektroniku koriste ugradbeni računalni sustavi. S obzirom na to da ugradbeni računalni sustavi imaju ograničene resurse, potrebno je optimizirati programsku podršku. U sklopu diplomskog rada optimizirana je potrebna programska memorija dobivene programske podrške. Prilikom optimizacije programske memorije korištene su sljedeće metode optimizacije: uvođenje generičkih funkcija, izdvajanje ponavljajućih funkcija u datoteku zaglavlja i uklanjanje mrtvog koda. Metode optimizacije primijenjene su na način da je prvo izmijenjen C programski kod i tako se ručno primijenila metoda na odabranoj programskoj komponenti. Zatim je testirano očuvanje funkcionalnosti tako optimiziranog programskog koda. Kada je potvrđeno očuvanje funkcionalnosti programa, izmijenjene su potrebne datoteke kako bi se TEG-om metoda optimizacije programske memorije primijenila na sve programske komponente (SWC-e). Zatim je odrađeno testiranje programskog koda na testnoj ploči te je dobivena statistika prolaznosti testova koji potvrđuju funkcionalnost programskog koda nakon optimizacije. Primijenjene metode su optimizirale zauzeće programske memorije (smanjenje od 6.16%) i u odgovarajućoj mjeri su očuvale funkcionalnost programskog koda.
Abstract (english)
With the technological advancements in the automotive industry, the need for more electronic components has increased as well as for the appropriate software, that is, appropriate drivers. The development of such software is based on the AUTOSAR standard, while the required electronics use embedded computer systems. Considering that the embedded computer systems have limited resources, the software needs to be optimized. In this paper, the program memory of the obtained software was optimized. The optimization was done using the following methods: introduction of generic functions, extraction of repetitive functions in the header files and dead code elimination. The optimization methods were applied by changing a program code written in C programming language. In that way, the method was applied manually on a selected software component (SWC). Then, the preservation of functionality of such optimized program code was tested. When the preservation of functionality was confirmed, necessary files were altered so that the method of optimization the program memory could be applied to all software components (SWCs) using TEG. Afterward, the program code testing was done on a testing board. The results of the testing provided the test passing statistics which prove the functionality of the optimized program code. The applied methods optimized the memory usage (6.16% reduction) and preserved the functionality of the program code to an appropriate extent.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:771113
Study programmeTitle: Graduate University Study Programme in Electrical Engineering; specializations in: Communications and Informatics, Power Engineering
Course: Communications and Informatics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike (magistar/magistra inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2020-11-20 07:18:14