Unaprjeđenje modela adaptivnoga upravljanja informatičkim projektima zasnovano na kategorizaciji projekata

doctoral thesis

• Title (english): Improvement of the adaptive IT project management model based on projects categorization
• Author: Mario Špundak; MBZ: -541
• Mentor: Krešimir Fertalj (mentor)
• Committee member: Krešimir Fertalj (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; (Department of Applied Computing); Zagreb
• Defense date and country: 2013-07-01, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing
• Universal decimal classification (UDC): 004 - Computer science and technology. Computing. Data processing

Abstract

Doktorski rad obrađuje područje upravljanja informatičkim projektima te daje pregled područja upravljanja projektima, njegov povijesni razvoj te razvoj istraživanja i standardizacije. Dalje slijedi prikaz tradicionalnog i adaptivnog pristupa upravljanju projektima uz njihovo primarno područje primjene. Na temelju pregleda postojećih kategorizacija projekata te karakteristika opisanih pristupa i informatičkih projekata, predložen je vlastiti model kategorizacije informatičkih projekata, s ukupno deset karakteristika. Na temelju kategorizacije i situacijskog inženjerstva metode postavljen je vlastiti okvir evaluacije i usporedbe metodologija za upravljanje projektima, nadograđen kako bi se omogućilo određivanje primjenjivosti metodologija na različite kategorije informatičkih projekata. Definirani su algoritmi izračuna prikladnosti pojedinog elementa metodologije i cjelokupne metodologije u odnosu na određeni projekt. Postavljen je i model kreiranja metodologije iz odabranih elemenata metodologije, kao unaprjeđenje modela adaptivnog upravljanja projektima, čime je omogućeno stvaranje metodologije prilagođene pojedinom projektu, ali i predviđeno stvaranje novih ili poboljšanje postojećih dijelova metodologije na temelju znanja i povratne informacije tijekom ili po završetku projekta. Opisani postupci prikazani su na primjerima metodologija korištenih u praktičnoj primjeni u informatičkim kompanijama pomoću prototipa na znanju temeljenog sustava koji omogućava vrednovanje i usporedbu metodologija te kreiranje metodologija za pojedini projekt.

Abstract (english)

Doctoral thesis is focused on the field of IT project management and provides overview of the field, together with its historical development as well as development of research and standardization in the field. Based on the thorough literature review about characteristics of both traditional and agile project management and their appropriateness of usage, as well as on the extensive literature review on the attributes that define IT projects, an evaluation framework is proposed. There are total of 10 recognized characteristics that do contribute to the differentiation of IT projects. These project characteristics are therefore used to form project categorization, to define two main project categories: traditional and agile projects. Project categorization is furthermore combined with the theory of situational method engineering, to form effective project management methodology evaluation framework based on project categorization. Improvement of the existing model of the adaptive project management is done by proposing project management methodology creation from the evaluated methodology elements. It is done by innovative algorithm for project management methodology creation, and by evaluation of proposed methodologies, in order to select the most appropriate one. To back up the whole process, prototype of the information system for project management methodology evaluation has been created. Throughout the thesis, examples of the whole evaluation framework have been given based on the existing project management methodologies used in IT companies.

• Keywords: upravljanje projektima; metodologija; tradicionalni pristup; adaptivni pristup; agilni pristup; okvir evaluacije metodologija; informatički projekti
• Keywords (english): project management; methodology; traditional approach; adaptive approach; agile approach; methodology evaluation framework; IT projects
• Language: croatian
• URN:NBN: urn:nbn:hr:168:948428
• Project: Number: 036-0361983-2022; Title: Održivi razvoj informacijskih sustava; Leader: Krešimir Fertalj; Jurisdiction: Croatia; Funder: MZOS; Funding stream: ZP
• Project: Number: 036-0361983-3137; Title: Optimiranje i upravljanje rizicima u informacijskim sustavima; Leader: Damir Kalpić; Jurisdiction: Croatia; Funder: MZOS; Funding stream: ZP
• Study programme: Title: Computer Science; Study programme type: university; Study level: postgraduate; Academic / professional title: Doktor znanosti (Doktor znanosti)
• Catalog URL: http://lib.fer.hr/cgi-bin/koha/opac-detail.pl?biblionumber=41332
• Type of resource: Text
• Extent: 181 str ; 30 cm
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2020-01-16 09:09:08