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Extending Lyee Methodology by the Enterprise Modelling for Information System Requirement Analysis
Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Information Systems and Project Management.ORCID iD: 0000-0001-5537-0453
Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Information Systems and Project Management.ORCID iD: 0000-0002-6849-6343
Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Information Systems and Project Management.
2002 (English)In: New Trends in Software Methodologies, Tools and Techniques: Proceedings of Lyee-W02 ( Lyee International Research Project, Report) / [ed] Fujita, H. & Johannesson, P., IOS Press , 2002, p. 273-288Chapter in book (Refereed)
Abstract [en]

This document demonstrates a possibility for extension of the LYEE methodology by using the Enterprise Modelling approach. The Karlstad University unit undertook the work. The major contribution of this report from the practical point of view is to illustrate by various examples how enterprise modelling approach can contribute in the phase of system requirements engineering in the context of LYEE. The overall investigation is based on examples of a real case study in the area of e-commerce. Most software methodologies are heavily centred on system development issues at the implementation level. Thus, such methodologies are restrictive in a way that a supporting technical system specification can not be motivated or justified in the context of organisational process models. A blueprint of enterprise infrastructure provides a basis for the organisations information technology planning. It is sometimes referred as enterprise architecture. The major theoretical effort of this report is to demonstrate the Lyee software engineering methodology extensions by using the enterprise modelling approach. The main focus is on the issue of the pragmatic, semantic and logical software requirements integration by using the enterprise models.

Place, publisher, year, edition, pages
IOS Press , 2002. p. 273-288
Series
Frontiers in Artificial Intelligence and Applications, ISSN 0922-6389
National Category
Information Systems
Research subject
Information Systems
Identifiers
URN: urn:nbn:se:kau:diva-19166ISBN: 9781586032883 (print)OAI: oai:DiVA.org:kau-19166DiVA, id: diva2:592810
Note

Distrubution: Please send an e-mail, Prima.gustiene@kau.se

Available from: 2013-01-21 Created: 2013-01-21 Last updated: 2018-01-11Bibliographically approved

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Gustas, RemigijusGustiené, PrimaJakobsson, Lars

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
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  • Other locale
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Output format
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