Testiranje sistema za poslovno obveščanje

magistrsko delo Management informacijskih sistemov, Sistemi za podporo odločanju

Mojca Gros (Author), Robert Leskovar (Mentor)

Abstract

Raziskava obravnava testiranje sistemov za poslovno obveščanje. Posebnost testiranja sistemov za poslovno obveščanje je, da poleg kakovosti programske opreme obravnava tudi kakovost podatkov. V raziskavi so predstavljene značilnosti standarda ISO/IEC/IEEE 29119, ki opisuje tehnike testiranja, primerne za različne metode razvoja programske opreme. Metoda razvoja programske opreme lahko pomembno vpliva na način in napredek testiranja sistema za poslovno obveščanje. Standard predlaga osnutke testirne dokumentacije, ki jo je možno uporabiti na celotnih projektih ali posameznih aktivnostih v procesu testiranja programske opreme. V raziskavi je razvit model testiranja sistemov za poslovno obveščanje, ki zajema predlog postavitve okolja testiranja in definicijo vlog testerjev v procesu testiranja. Predlagane so testirne procedure z definiranimi merili za posamezno proceduro. Osnutki dokumentov, ki so skladni s standardom ISO/IEC/IEEE 29119, so izdelani okviru te raziskave. Testirne procedure, merila in testirna dokumentacija so integrirani v življenjski cikel razvoja sistema. Predlagani model testiranja skrajša čas odkrivanja in odpravljanja napak v zgodnjih fazah razvoja sistema, kar poveča učinkovitost testiranja. Ocenjujemo, da smo s takim pristopom zmanjšali prenos logičnih napak v nadaljnje faze razvoja sistema za poslovno odločanje. Testerji sistema za poslovno obveščanje morajo imeti tehnične kompetence, dobro morajo poznati procese v poslovnem okolju, vsebino in pomen podatkov. Vključevanje poslovnih uporabnikov v zgodnje fazah testiranja sistema izboljša kakovosti podatkov, hkrati pa uporabniki lažje razumejo delovanje rešitve. Testiranje sistemov za poslovno odločanje, ki aktivno vključuje uporabnike, poveča njihovo zaupanje v delovanje programske opreme in v pravilnost podatkov.

Keywords

sistem za poslovno obveščanje;podatkovno skladišče;kakovost podatkov;

Data

Language:	Slovenian
Year of publishing:	2016
Typology:	2.09 - Master's Thesis
Organization:	UM FOV - Faculty of Organizational Sciences
Publisher:	[M. Gros]
UDC:	004.4
COBISS:	7600915
Views:	993
Downloads:	88
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Testing of Business Intelligence system
Secondary abstract:	The research addresses the testing of business intelligence (BI). The specifics of BI testing are emphasis on both software quality as well as data quality. This research presents the main characteristics of ISO/IEC/IEEE 29119, which describes testing techniques suitable for various software development methods. Software development methods can significantly influence the testing mode and testing progress in BI development projects. Standard proposes draft testing documents which can be adapted for the whole project or selected project activities. In this research we developed a model for BI testing, which includes testing environment setup and definition of the roles of the testers in the testing process. Testing procedures with defined measures for each procedure are developed. Draft documents for BI testing are developed to be consistent with ISO/IEC/IEEE 29119. Testing procedures, measures and testing documents are integrated into the development life cycle of the system. The proposed testing model reduce times to detect and correct errors in the early stages of system development, which increases the testing efficiency. We estimate that this approach decrease the propagation of logical errors in next BI development phases. Beside the technical competences, testers must have knowledge in business system's processes as well as knowledge on the content and meaning of the data. Integration of business users in the early stages of testing increases the data quality. The users also easily understands the BI solution. The proposed testing model which include active user's participation increases their confidence in developed software and correctness of the data.
Secondary keywords:	Decision Support System;Data Warehouse;Data Quality;Software Testing;ISO/IEC/IEEE 29119;
URN:	URN:SI:UM:
Type (COBISS):	Master's thesis
Thesis comment:	Univ. v Mariboru, Fak. za organizacijske vede
Pages:	113 f.
ID:	9130660