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DKUM
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Title:
Pomanjkljivi testni primeri v informacijskih rešitvah : magistrsko delo
Authors:
ID
Plečko, Ana
(Author)
ID
Beranič, Tina
(Mentor)
More about this mentor...
Files:
MAG_Plecko_Ana_2023.pdf
(3,45 MB)
MD5: 21DCCEFD0F3ED2D3ED626E3C88E4EF07
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 smo se osredotočili na pregled pomena in definicije pomanjkljivih testnih primerov. Pregledali smo aktualno literaturo in prepoznali najpogostejše tipe pomanjkljivih testnih primerov, ki se pojavijo v testni kodi. S pomočjo aktualnih digitalnih knjižnic smo opisali in analizirali najpogosteje uporabljena in največkrat omenjena orodja, ki omogočajo prepoznavo pomanjkljivih testnih primerov. Ta smo medsebojno primerjali in opisali njihove glavne funkcionalnosti. V nadaljevanju smo iz celotnega nabora izbrali tri orodja in jih uporabili na izbranem testnem projektu. Za testni projekt smo izbrali Apache Hadoop Common, ki je implementiran v programskem jeziku Java in za testiranje uporablja orodje JUnit, tako kot izbrana orodja. Rezultate, ki smo jih dobili pri zagonu orodij, smo medsebojno primerjali in analizirali večja odstopanja. Cilji magistrskega dela so bili naslednji: prepoznava pomanjkljivih testnih primerov in njihovih najpogostejših tipov, pregled orodij, ki jih lahko prepoznajo, uporaba izbranih orodij na javanskem projektu, beleženje rezultatov ter primerjava natančnosti in analize, ki jih je zabeležilo vsako orodje.
Keywords:
pomanjkljivi testni primeri
,
orodja za prepoznavo pomanjkljivih testnih primerov
,
Java
,
JUnit
,
Apache Hadoop
Place of publishing:
Maribor
Place of performance:
Maribor
Publisher:
[A. Plečko]
Year of publishing:
2023
Number of pages:
1 spletni vir (1 datoteka PDF (XI, 81 f.))
PID:
20.500.12556/DKUM-85928
UDC:
004.4.052(043.2)
COBISS.SI-ID:
176839683
Publication date in DKUM:
13.10.2023
Views:
350
Downloads:
54
Metadata:
Categories:
KTFMB - FERI
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:
PLEČKO, Ana, 2023,
Pomanjkljivi testni primeri v informacijskih rešitvah : magistrsko delo
[online]. Master’s thesis. Maribor : A. Plečko. [Accessed 14 March 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=85928
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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:
19.09.2023
Secondary language
Language:
English
Title:
Test smells in information solutions
Abstract:
In the thesis, we focused on the review of the meaning and definition of test smells. We reviewed the current literature and identified the most common test smell types that appear in test code. With the help of current digital libraries, we described and analyzed the most commonly used and frequently mentioned tools that simplify the identification of test smells. We compared these tools and described their main functionalities. Next, we selected three tools from the entire set and used them on the selected test project. Our test project was Apache Hadoop Common, which is implemented in the Java programming language and uses JUnit for testing, as do the tools we selected. We compared the results obtained by running the tools and analyzed major deviations. The objectives of the thesis were as follows: to identify test smells and their most common types, review the tools that can recognize them, apply the selected tools to a Java project, document the results, and compare the accuracy and analysis recorded by each tool.
Keywords:
test smells
,
test smell detection tools
,
Java
,
JUnit
,
Apache Hadoop
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