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ALCEA: The Architecture Life-Cycle Effect Analysis Method
RISE Research Institutes of Sweden, Kista, Sweden.ORCID iD: 0000-0002-3986-1196
Volvo Construction Equipment, Eskilstuna, Sweden.ORCID iD: 0000-0001-8598-3816
Braxo AB, Stockholm, Sweden.ORCID iD: 0000-0003-4606-5144
Safety Integrity AB, Västerås, Sweden.ORCID iD: 0000-0001-8891-033X
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2024 (English)In: IEEE Open Journal of Systems Engineering, E-ISSN 2771-9987, Vol. 2, p. 1-14Article in journal (Refereed) Published
Abstract [en]

This paper describes the Architecture Life Cycle Effect Analysis (ALCEA) method, a structured method for evaluating proposed new architectures for software-intensive systems. The method evaluates a proposed architecture by quantifying its effect on the performance of system life-cycle phases. The method is instantiated by identifying (i) the relevant life-cycle phases of the system under investigation and (ii) a set of evaluation functions that capture, in terms of basic factors, the effect of different architectural decisions on key life-cycle performance attributes, such as revenue, operating resources, and investments. The method results in a transparent cost and revenue structure, documented in a tabular form, based on quantifiable factors from the developing organization. The results of the method can be used directly as part of a business case, and their robustness can be estimated by sensitivity analysis. The ALCEA method is designed for system-level architectural analysis, covering both software and hardware aspects. In this paper, we introduce the ALCEA method and provide a detailed example of how to apply it in the evolution of embedded systems. Moreover, we share early experiences of using the method in large-scale industrial settings.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2024. Vol. 2, p. 1-14
Keywords [en]
Architecture analysis, Systems engineering, Computer architecture, Full life-cycle support
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-69357DOI: 10.1109/ojse.2024.3357243OAI: oai:DiVA.org:mdh-69357DiVA, id: diva2:1919309
Available from: 2024-12-09 Created: 2024-12-09 Last updated: 2025-10-10Bibliographically approved

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Gustavsson, HenrikJongeling, RobbertSundmark, Daniel

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