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Title:Identifikacija in analiza pomanjkljive kode v spletnih rešitvah : magistrsko delo
Authors:Heričko, Tjaša (Author)
Šumak, Boštjan (Mentor) More about this mentor... New window
Files:.pdf MAG_Hericko_Tjasa_2019.pdf (2,27 MB)
MD5: BEECCB3014B37978A874231D137FC2C8
 
Language:Slovenian
Work type:Master's thesis/paper (mb22)
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V magistrskem delu smo raziskali področje pomanjkljive kode v spletnih rešitvah, ki temeljijo na programskem jeziku JavaScript. Izvedli smo sistematični pregled literature, s katerim smo raziskali programske metrike in orodja, ki se uporabljajo za identifikacijo pomanjkljive kode. Analizirali in izbrali smo primerna orodja za pridobivanje vrednosti programskih metrik. Za petindvajset odprtokodnih spletnih rešitev, razvitih v programskem jeziku JavaScript, smo z izbranimi orodji ESLint, JSHint in SonarJS pridobili metrične vrednosti in jih medsebojno primerjali. Empirični podatki, pridobljeni z analizo izbranih spletnih rešitev, nakazujejo na precejšnja odstopanja in razlike v rezultatih ob uporabi različnih orodij.
Keywords:programska oprema, spletne rešitve, pomanjkljiva koda, programske metrike, JavaScript
Year of publishing:2019
Place of performance:Maribor
Publisher:[T. Heričko]
Number of pages:X, 99 str.
Source:Maribor
UDC:004.412:004.774(043.2)
COBISS_ID:22839830 New window
NUK URN:URN:SI:UM:DK:T7CJI8ZO
Views:488
Downloads:173
Metadata:XML RDF-CHPDL 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:29.08.2019

Secondary language

Language:English
Title:Identification and analysis of code smells in web solutions
Abstract:In this master thesis, we explored code smells in JavaScript-based web solutions. We conducted a systematic literature review to explore software metrics and tools used to identify code smell. We analyzed and selected tools for obtaining software metrics. For twenty-five open source web solutions developed in JavaScript we gathered metrics with selected tools ESLint, JSHint and SonarJS and compared them. The empirical data obtained from the analysis of selected web solutions showed substantial deviation and differences in results using different tools.
Keywords:software, web solutions, code smell, software metrics, JavaScript


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