Uporaba programskih metrik za napovedovanje težavnosti vzdrževanja kode

magistrsko delo

Aljaž Heričko (Author), Boštjan Šumak (Mentor)

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;metrike;indeks vzdrževalnosti;magistrske naloge;

Data

Language:	Slovenian
Year of publishing:	2017
Typology:	2.09 - Master's Thesis
Organization:	UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher:	A. Heričko
UDC:	004.4'2/'6(043.2)
COBISS:	20974102
Views:	877
Downloads:	127
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Analysis of metrics for predicting code maintainability difficulty
Secondary 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.
Secondary keywords:	software;quality;maintenability;metrics;maintenability index;
URN:	URN:SI:UM:
Type (COBISS):	Master's thesis/paper
Thesis comment:	Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Informatika in tehnologije komuniciranja
Pages:	XIII, 70 f.
ID:	10862811