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Pregled bibliografske jedinice broj: 872276

Method for estimating the complexity of a business information system based on operations in software solution


Kaluža, Marin; Pavlić, Mile; Poščić, Patrizia
Method for estimating the complexity of a business information system based on operations in software solution // International Journal of Information Systems and Change Management, 8 (2016), 4; 321-348 doi:10.1504/IJISCM.2016.084053 (međunarodna recenzija, članak, znanstveni)


Naslov
Method for estimating the complexity of a business information system based on operations in software solution

Autori
Kaluža, Marin ; Pavlić, Mile ; Poščić, Patrizia

Izvornik
International Journal of Information Systems and Change Management (1479-3121) 8 (2016), 4; 321-348

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Estimation ; measuring ; complexity ; information system ; business software

Sažetak
The aim of this paper is to define and prove the accuracy of the method which can, based on the number of input and output data on the basic functions of the user interface of software solution, measure the complexity of a software product to estimate the complexity of the information system. We analyzed the elements of the process model and software solution, demonstrated the relationship between them, and defined the rules for mapping functions from the user interface of software solution into concepts of the process model. A method called process complexity (PC) is defined, which is based on counting data on the basic functions of the user interface of software solution. The method was tested on software solutions of 23 subsystems. To check the accuracy of the PC method, all systems/subsystems are also measured by using control methods data on documents (DOD) and the database complexity (DC).

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti



POVEZANOST RADA


Projekt / tema
13.13.1.2.01.

Ustanove
Veleučilište u Rijeci,
Sveučilište u Rijeci - Odjel za informatiku

Časopis indeksira:


  • Scopus


Uključenost u ostale bibliografske baze podataka:


  • Scopus
  • Compendex
  • Academic OneFile
  • ACM Digital Library
  • cnpLINKer (CNPIEC)
  • DBLP Computer Science Bibliography
  • Expanded Academic ASAP
  • Business Collection
  • General OneFile
  • Google Scholar
  • Info Trac
  • Inspec
  • io-port
  • ProQuest


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