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Title:Uporaba programskih metrik za napovedovanje težavnosti vzdrževanja kode
Authors:ID Heričko, Aljaž (Author)
ID Šumak, Boštjan (Mentor) More about this mentor... New window
Files:.pdf MAG_Hericko_Aljaz_2017.pdf (2,93 MB)
MD5: A8F65AC2C07056B62609B8BBC583C736
PID: 20.500.12556/dkum/31d6854c-29d0-422a-9d44-486222519f7f
 
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:Vzdrževanje je eno izmed najdražjih opravil v procesu razvoja programske opreme, po nekaterih študijah lahko predstavlja celo več kot polovico vseh stroškov projekta. V magistrskem delu smo opravili sistematičen pregled literature in raziskali metrike, ki se pogosto uporabljajo za oceno težavnosti vzdrževanja kode s pomočjo indeksa vzdrževalnosti. Analizirali in izbrali smo primerna orodja za pridobivanje metričnih vrednosti, potrebnih za izračun metrik vzdrževalnosti. Za štirideset odprtokodnih javanskih projektov smo izračunali vrednosti petih različic indeksa vzdrževalnosti in jih medsebojno primerjali. Skušali smo ugotoviti, katera izmed njih daje najboljši rezultat za napovedovanje na podlagi težavnosti izračuna ter doseganja primerljivih rezultatov s predhodno validiranim originalnim indeksom vzdrževalnosti. Ugotovili smo, da metrika, ki za delovanje potrebuje zgolj število vrstic, daje primerljive rezultate kot bistveno kompleksnejše metrike.
Keywords:programska oprema, kakovost, vzdrževalnost, metrike, indeks vzdrževalnosti
Year of publishing:2017
Publisher:A. Heričko
Source:[Maribor
PID:20.500.12556/DKUM-68041 New window
UDC:004.4'2/'6(043.2)
COBISS.SI-ID:20974102 New window
NUK URN:URN:SI:UM:DK:M4MARD9W
Publication date in DKUM:24.10.2017
Views:946
Downloads:133
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:06.09.2017

Secondary language

Language:English
Title:Analysis of metrics for predicting code maintainability difficulty
Abstract:Maintainability is one of the more expensive steps in the process of developing software, according to some studies, it can represent over 50% of all the expenses of a project. In the thesis we did a systematic literature review, where we decided on further analyzing some metrics, which we found the best fit to use for predicting maintainability and we had the tools available, with which we could calculate the difficulty of maintenance. We decided on 5 metrics and we calculated their value on 40 chosen open source Java projects and we calculated the correlation between the values on different projects, as the effectiveness of one of the chosen metrics had already been validated, we could see how good the other metrics are to predict maintainability. Out of the five one metric stands out, as it only requires LOC metric, which is quite easy to get, to predict maintainability, while the result are comparable to the ones we get when using more complex methods to predict maintainability.
Keywords:software, quality, maintainability, metrics, maintainability index


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