20.500.12556/DKUM-59633 Uporaba programskih metrik za vrednotenje kakovosti projektov Python Use of software metrics to evaluate the quality of Python projects Programske metrike so ključne za doseganje želene kakovosti programskih in informacijskih sistemov ter identifikacijo komponent, ki jih je potrebno preoblikovati in izboljšati. V magistrskem delu smo raziskali, ali lahko uveljavljene objektno orientirane programske metrike uporabimo tudi v projektih Python. S pomočjo pregleda literature in analize orodij za zbiranje metričnih vrednosti smo identificirali metrike, primerne za vrednotenje kakovosti programskih rešitev, razvitih v jeziku Python. V empiričnem delu raziskave smo izbrane metrike uporabili pri analizi programske kode enainštiridesetih projektov Python. Ugotovili smo, da lahko na osnovi objektno orientiranih metrik kot so npr. WMC, DIT, RFC, NOC, kot tudi nekaterih klasičnih metrik, kot je ciklomatična kompleksnost vrednotimo in primerjamo kakovost posameznih projektov, kot tudi identificiramo slabo oblikovane razrede. Dodatno smo ugotovili, da lahko koncept tehničnega dolga uporabimo tudi za projekte Python. Software metrics are the key to achieving the desired quality of software and information systems, and for identification of components that need to be transformed and improved. In this thesis, we investigated whether the established object oriented software metrics can be also used in Python projects. Through literature review and analysis of tools which collect the metric values we identified metrics appropriate for evaluation of quality of software solutions developed in the Python program language. Within the empirical part of the research, we used metrics in the analysis of the program code of forty-one Python projects. We found that on the basis of the object-oriented metrics like WMC, DIT, RFC, NOC as well as on the basis of some classic metrics such as cyclomatic complexity, we can evaluate and compare the quality of individual projects as well as identify the badly designed classes. Furthermore, we found that the concept of technical debt could also be used for Python projects. informacijski sistemi programska oprema Python kakovost metrike tehnični dolg information systems software Python quality metrics technical debt true true false R. Malačič Slovenski jezik Angleški jezik Magistrsko delo 2016-05-24 11:12:35 2017-01-13 11:24:28 2022-06-21 03:06:10 2019-07-11 11:20:22 2016 0 [Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.43(043) 20139030 URN:SI:UM:DK:QCMPPS1C MAG_Malacic_Robert_2016.pdf MAG_Malacic_Robert_2016.pdf 1 032725C8DD567789CD3F8783B15F4E7A 175b1c75b13e632f9d3dba4694bb6a172c2cf6d6add079e4039faa7844e5c4c4 bdba487e-7c0c-11eb-bb7a-00155d0001ca https://dk.um.si/Dokument.php?lang=slv&id=95017 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0