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DKUM
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Title:
Avtomatizacija pregledovanja kode s pomočjo strojnega učenja
Authors:
ID
Stojnšek, Sebastjan
(Author)
ID
Podgorelec, Vili
(Mentor)
More about this mentor...
Files:
MAG_Stojnsek_Sebastjan_2018.pdf
(1,51 MB)
MD5: 033B916BEF524DB9A703BC0E241C1DA9
PID:
20.500.12556/dkum/8f4bd4c7-f88d-4af1-abe9-9421a89d84b1
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 tem magistrskem delu smo se posvetili področju pregledovanja kode s pomočjo strojnega učenja. Proučili smo sorodna dela na tem področju ter določili teoretični pristop, s pomočjo katerega bomo lahko izvajali napovedovanje slabih sprememb programske kode programskega jezika Javascript, ki zahtevajo odpravo napak. Tako bomo zmanjšali porabo virov pri pregledovanju programske kode. Izdelali smo prototip ekspertnega sistema, ki bo omogočal generiranje metrik in učenje nevronske mreže v ogrodju Tensorflow.js. Učinkovitost sistema smo ovrednotili na treh odprtokodnih projektih ter dosegli rezultate, ki upravičujejo smiselnost vpeljave takšnega sistema v proces razvoja programske opreme.
Keywords:
strojno učenje
,
Tensorflow
,
pregledovanje kode
,
JavaScript
,
nevronske mreže
,
programsko inženirstvo
Place of publishing:
[Maribor
Publisher:
S. Stojnšek
Year of publishing:
2018
PID:
20.500.12556/DKUM-72682
UDC:
004.8:004.415.3(043.2)
COBISS.SI-ID:
21917462
NUK URN:
URN:SI:UM:DK:FUERAGEB
Publication date in DKUM:
22.11.2018
Views:
1573
Downloads:
131
Metadata:
Categories:
KTFMB - FERI
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:
STOJNŠEK, Sebastjan, 2018,
Avtomatizacija pregledovanja kode s pomočjo strojnega učenja
[online]. Master’s thesis. Maribor : S. Stojnšek. [Accessed 12 April 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=72682
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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:
15.10.2018
Secondary language
Language:
English
Title:
Code review automation using machine learning
Abstract:
This master thesis adresses code review process supported by machine learning. We studied works of other authors for suitable indicators to generate theoretical approach, which can be used to predict rework in Javascript programming language. This way we can assist code review process by using less resources. We developed an expert system prototype which generates needed metrics to perfrom machine learning using Tensorflow.js library. Developed system was validated for effectiveness on three opensource projects, which proved usefullness of predictions and helpful contribution to software development process.
Keywords:
machine learning
,
Tensorflow
,
code review
,
JavaScript
,
neural networks
,
software engineering
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