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Title:Uporaba programskih metrik za vrednotenje kakovosti projektov Python
Authors:ID Malačič, Robert (Author)
ID Heričko, Marjan (Mentor) More about this mentor... New window
Files:.pdf MAG_Malacic_Robert_2016.pdf (4,00 MB)
MD5: 032725C8DD567789CD3F8783B15F4E7A
 
Language:Slovenian
Work type:Master's thesis
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract: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.
Keywords:informacijski sistemi, programska oprema, Python, kakovost, metrike, tehnični dolg
Place of publishing:[Maribor
Publisher:R. Malačič
Year of publishing:2016
PID:20.500.12556/DKUM-59633 New window
UDC:004.43(043)
COBISS.SI-ID:20139030 New window
NUK URN:URN:SI:UM:DK:QCMPPS1C
Publication date in DKUM:13.01.2017
Views:1534
Downloads:267
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:Use of software metrics to evaluate the quality of Python projects
Abstract: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.
Keywords:information systems, software, Python, quality metrics, technical debt


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