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Title:Avtomatizacija testiranja z malo ali nič programske kode : magistrsko delo
Authors:ID Zagoranski, Verica (Author)
ID Beranič, Tina (Mentor) More about this mentor... New window
Files:.pdf MAG_Zagoranski_Verica_2023.pdf (1,63 MB)
MD5: 6FDF474271658B18AECA445283912AD8
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V magistrskem delu se je raziskalo področje avtomatiziranega testiranja z malo ali nič programske kode. Izveden je bil sistematični pregled literature, s katerim so bile identificirane in raziskane dostopne dobre prakse avtomatiziranega testiranja z malo ali nič programske kode ter orodja, ki to implementirajo in podpirajo. Z eksperimentom in primerjalno metodo je bil ovrednoten pristop avtomatiziranega testiranja z malo ali nič programske kode ter orodja. Empirični podatki, pridobljeni na osnovi eksperimenta, nakazujejo, da je za funkcionalno testiranje smiselno uporabiti pristop avtomatizacije testiranja z malo ali nič programske kode, pri čemer je treba izbrati ustrezno orodje, saj raziskava kaže, da je količina pisanja programske kode odvisna tudi od izbranega orodja.
Keywords:testiranje programske opreme, kakovost programske opreme, avtomatizacija testiranja, testiranje z malo programske kode, testiranje z nič programske kode
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[V. Zagoranski]
Year of publishing:2023
Number of pages:1 spletni vir (1 datoteka PDF (XI, 65 f.))
PID:20.500.12556/DKUM-84444 New window
UDC:004.4'24(043.2)
COBISS.SI-ID:158064387 New window
Publication date in DKUM:03.07.2023
Views:647
Downloads:125
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:08.06.2023

Secondary language

Language:English
Title:Low code/ no code test automation
Abstract:In the master's thesis, the area of automated testing with little or no programming code was investigated. A systematic review of the literature was conducted to identify and explore available best practices for automated testing with little or no programming code, as well as tools that implement and support it. The approach of automated testing with little or no programming code and tools was evaluated through an experiment and comparative method. The empirical data obtained on the basis of the experiment suggests that it makes sense to use the approach of test automation with little or no programming code for functional testing, while it is necessary to choose the appropriate tool, as the research shows that the amount of programming code writing also depends on the selected tool.
Keywords:software testing, software quality, test automation, low code testing, no code testing


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