Naslov Modeliranje pouzdanosti programske podrške za upravljanje resursima poduzeća
Naslov (engleski) Reliability modelling of enterprise resource planning software
Autor Frane Urem
Mentor Krešimir Fertalj (mentor)
Član povjerenstva Damir Kalpić (predsjednik povjerenstva)
Član povjerenstva Vedran Mornar (član povjerenstva)
Član povjerenstva Neven Vrček (član povjerenstva)
Ustanova koja je dodijelila akademski / stručni stupanj Sveučilište u Zagrebu Fakultet elektrotehnike i računarstva (Zavod za primijenjeno računarstvo) Zagreb
Datum i država obrane 2012-10-12, Hrvatska
Znanstveno / umjetničko područje, polje i grana TEHNIČKE ZNANOSTI Računarstvo
Univerzalna decimalna klasifikacija (UDC ) 004 - Računalna znanost i tehnologija. Računalstvo. Obrada podataka
Sažetak Posljednjih dva desetljeća istraživanje pouzdanosti programske podrške postaje sve pristupačnije i popularnije. Značajno mjesto u takvim istraživanjima zauzimaju i sustavi za upravljanje resursima poduzeća (engl. Enterprise Resource Planning-ERP) kao vrlo bitni sustavi programske potpore svim poslovnim procesima u modernom poslovanju. Opisan je i formaliziran vlastiti postupak primjene modela pouzdanosti programske podrške na ERP sustave. Postupak uključuje optimalno prikupljanje, analizu i obradu podataka o prijavljenim pojavama neispravnosti u ERP sustavu i naknadno vrednovanje utvrđenog modela pouzdanosti. Opisani su i primijeneni numerički postupci utvrđivanja prikladnih modela pouzdanosti prema izmjerenim razdiobama neispravnosti na stvarnom sustavu. Također su prikazani primjeri uporabe poznatih postupaka statističke provjere i vrednovanja na pretpostavljene modele pouzdanosti ERP sustava. Predstavljeni su i primijenjeni popratni algoritmi potrebni za uspješno odvijanje postupka predviđanja pouzdanosti ERP sustava. U okviru rada je istražena i primijenjena tehnika operacijskog profila kao zanimljiv i nedovoljno korišten postupak za efikasniju provjeru i povećanje pouzdanosti ERP sustava. Posebno je istražen utjecaj izvođenja nadogradnji na pouzdanost ERP sustava. Obavljena je validacija primjene vlastitog modela utjecaja nadogradnji kroz predviđanje broja prijava i vremenske razdiobe defekata u periodima između obavljenih nadogradnji.
Sažetak (engleski) In the last two decades the software reliability research is becoming more accessible and popular. Important place for such research is taken up for enterprise resource planning (ERP) systems as the most important software systems for different businesses. The complexity of their architecture and supported business processes is resulting with complex and demanding reliability analysis. Existing studies generally examine the impact of operational risk in the field of hardware, information security, communications and business processes but less in the field of software errors, training, configuration and customizations. Customers need simple and easily understood procedures in assessing the reliability of the ERP system to act before the system becomes unusable or at worst undermine their business. In the introduction of this dissertation are presented the basic concepts and terms related to ERP systems with the concept of defect tracking in their implementation and production. The ERP system life cycle processes are particularly described with emphasizing of adjustments and adaptations as sources of potential defects. The basic definitions and software reliability models are presented with particularly description of later used exponential and Weibull model of software reliability. Later on, the process of making an appropriate reliability model from the available measurements of the real ERP system is described. The procedures of processing and analyzing the collected data for easier later identification of the appropriate statistical distributions are highlighted. Briefly, presentation of software package used for later statistical fitting of empirical data is made with an example from performed case study. Mathematical algorithms that can be used for Weibull and exponential software reliability models in assessing the best-fit statistical distribution of empirical data are specifically mentioned and explained. The statistical tests that were used and the way of their application in evaluating the confidence of the chosen ERP reliability model are presented. The operational profile technique is described as an interesting method for efficiently ERP system testing and reliability growth. Theoretical concepts are systematically processed on a specific case study of specific ERP software modules and in an understandable manner presented with illustrations how the operating profile should be developed and applied. Constant upgrading of ERP systems is necessary, but can cause new defects. This dissertation attempts to model the likelihood of defects after completed upgrades with Weibull defect probability density function. A case study is presented analyzing data of recorded defects obtained for one ERP subsystem. The trends are observed for the value of the parameters relevant to the proposed statistical Weibull distribution for a given one year period. As a result, the ability to predict the appearance of defects after the next upgrade is described. The result of the applied modelling is in modelling the reliability of the ERP system from a user perspective with estimated parameters like expected maximum number of defects in one day or predicted minimum of defects between two upgrades. The results of this thesis will be useful to manufacturers of ERP systems in the modelling of the quality of implementation of their ERP products, but also for ERP users in assessing the reliability of the applied ERP system.
Ključne riječi
ERP sustav
pouzdanost ERP sustava
modeliranje pouzdanosti
operacijski profil
utjecaj nadogradnje na pouzdanost
predviđanje pouzdanosti
Ključne riječi (engleski)
ERP system
ERP reliability
reliability modelling
operational profile
impact of upgrades on reliability
reliability prediction
Jezik hrvatski
URN:NBN urn:nbn:hr:168:143097
Projekt Šifra: 036-0361983-2022 Naziv: Održivi razvoj informacijskih sustava Voditelj: Krešimir Fertalj Pravna nadležnost: Hrvatska Financijer: MZOS Linija financiranja: ZP
Projekt Šifra: 036-0361983-3137 Naziv: Optimiranje i upravljanje rizicima u informacijskim sustavima Voditelj: Damir Kalpić Pravna nadležnost: Hrvatska Financijer: MZOS Linija financiranja: ZP
Studijski program Naziv: Računarstvo Vrsta studija: sveučilišni Stupanj studija: poslijediplomski znanstveni (doktorski) Akademski / stručni naziv: Doktor znanosti (dr. sc.)
URL zapisa u katalogu http://lib.fer.hr/cgi-bin/koha/opac-detail.pl?biblionumber=40503
Vrsta resursa Tekst
Opseg 127 str. ; 30 cm.
Način izrade datoteke Izvorno digitalna
Prava pristupa Zatvoreni pristup
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Datum i vrijeme pohrane 2019-07-25 07:45:50