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A Method for Improving the Treatment of Capacity Requirements in Large Telecommunication Systems
Linköping University, Department of Computer and Information Science, PELAB - Programming Environment Laboratory. Linköping University, The Institute of Technology.
Ericsson AB, Linköping, Sweden.
Linköping University, Department of Computer and Information Science, PELAB - Programming Environment Laboratory. Linköping University, The Institute of Technology.
(English)Manuscript (Other academic)
Abstract [en]

Non-functional requirements crosscut functional models and are more difficult to enforce in system models. This paper describes a long-term research collaboration regarding capacity requirements between Linköping University and Ericsson AB. We describe an industrial case study on non-functional requirements as a background. Succeeding efforts dedicated to capacity include a detailed description of the term, a best practice inventory within Ericsson, and a pragmatic approach for how to annotate UML models with capacity information. The results are also represented as a method plug-in to the OpenUP software process and an anatomy facilitating the possibility to assess and improve an organization’s abilities to develop for capacity. The results combine into a method for how to improve the treatment of capacity requirements in large-scale software systems. Both product and process views are included, with emphasis on the latter.

Keyword [en]
Non-functional requirements, capacity requirements, process improvement, anatomy, UML, OpenUP, Eclipse Process Framework
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:liu:diva-16805OAI: oai:DiVA.org:liu-16805DiVA: diva2:174178
Available from: 2009-02-19 Created: 2009-02-19 Last updated: 2010-01-14Bibliographically approved
In thesis
1. Processes and Models for Capacity Requirements in Telecommunication Systems
Open this publication in new window or tab >>Processes and Models for Capacity Requirements in Telecommunication Systems
2009 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Capacity is an essential quality factor in telecommunication systems. The ability to develop systems with the lowest cost per subscriber and transaction, that also meet the highest availability requirements and at the same time allow for scalability, is a true challenge for a telecommunication systems provider. This thesis describes a research collaboration between Linköping University and Ericsson AB aimed at improving the management, representation, and implementation of capacity requirements in large-scale software engineering.

An industrial case study on non-functional requirements in general was conducted to provide the explorative research background, and a richer understanding of identified difficulties was gained by dedicating subsequent investigations to capacity. A best practice inventory within Ericsson regarding the management of capacity requirements and their refinement into design and implementation was carried out. It revealed that capacity requirements crosscut most of the development process and the system lifecycle, thus widening the research context considerably. The interview series resulted in the specification of 19 capacity sub-processes; these were represented as a method plug-in to the OpenUP software development process in order to construct a coherent package of knowledge as well as to communicate the results. They also provide the basis of an empirically grounded anatomy which has been validated in a focus group. The anatomy enables the assessment and stepwise improvement of an organization’s ability to develop for capacity, thus keeping the initial cost low. Moreover, the notion of capacity is discussed and a pragmatic approach for how to support model-based, function-oriented development with capacity information by its annotation in UML models is presented. The results combine into a method for how to improve the treatment of capacity requirements in large-scale software systems.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2009. 62 p.
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1238
National Category
Computer Science
Identifiers
urn:nbn:se:liu:diva-16932 (URN)978-91-7393-700-9 (ISBN)
Public defence
2009-03-26, Visionen, hus B, Campus Valla, Linköpings universitet, Linköping, 10:15 (English)
Opponent
Supervisors
Available from: 2009-02-25 Created: 2009-02-25 Last updated: 2009-04-23Bibliographically approved

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Borg, AndreasSandahl, Kristian

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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Language
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Output format
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