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Inclusion of Ethical Aspects in Multi-criteria Decision Analysis
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-6954-8339
Chalmers University of Technology, Sweden.ORCID iD: 0000-0001-9881-400X
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-5278-755X
2016 (English)In: Proceedings - 2016 1st International Workshop on Decision Making in Software ARCHitecture, MARCH 2016, 2016, 1-8 p.Conference paper, Published paper (Refereed)
Resource type
Text
Abstract [en]

Decision process is often based on multi-faceted and mutually opposing criteria. In order to provide rigorous techniques for problem structuring and criteria aggregation used for classification and ranking of alternatives, Multiple Criteria Decision Analysis (MCDA) has been used as a method to achieve architectural decisions. Even though it has already been argued in literature that MCDA essentially depends on value systems of decision-makers, it is a question how the decision result reflects a particular criterion, requirement or a particular decision. This is especially true if a criterion is not precisely specified. In this paper we analyse the ethical aspects of MCDA. In our analysis we argue that it is in the long run necessary to make value basis of decision-making and ethical considerations explicit and subject for scrutiny. As a support to encourage introduction of transparent value-based deliberation we propose an extended MCDA scheme that would explicitly take into account ethical analysis. As an illustration, we present an industrial case study for the Software (SW)/Hardware (HW) partitioning of a wind turbine application in which different decisions can be taken, depending on the ethical aspects. 

Place, publisher, year, edition, pages
2016. 1-8 p.
Keyword [en]
Embedded Systems, Ethical Aspects, Ethics, Multiple Criteria Decision Analysis, Application programs, Decision theory, Operations research, Philosophical aspects, Software architecture, Wind turbines, Architectural decision, Ethical considerations, Industrial case study, Multi-criteria decision analysis, Ranking of alternatives, Decision making
National Category
Embedded Systems
Identifiers
URN: urn:nbn:se:mdh:diva-32524DOI: 10.1109/MARCH.2016.8ISI: 000382526100001Scopus ID: 2-s2.0-84979519277ISBN: 9781509025732 (print)OAI: oai:DiVA.org:mdh-32524DiVA: diva2:953665
Conference
1st International Workshop on Decision Making in Software ARCHitecture, MARCH 2016, 5 April 2016
Available from: 2016-08-18 Created: 2016-08-18 Last updated: 2016-09-29Bibliographically approved
In thesis
1. Hardware/Software Partitioning Methodology for Embedded Applications using Multiple Criteria Decision Analysis
Open this publication in new window or tab >>Hardware/Software Partitioning Methodology for Embedded Applications using Multiple Criteria Decision Analysis
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The new hardware technologies enable execution of embedded systems applications on heterogeneous execution platforms. These platforms consist of different execution processing units, for example of CPUs, and FPGAs, that enable the application execution of software (SW) components, typically implemented as C/C++ code, and hardware (HW) components, implemented as VHDL code. This heterogeneity enables building dedicated components which can significantly improve the application performance. This, however, requires decisions on which components will be implemented as SW and which as HW execution units. This decision process in known as HW/SW partitioning, and is a subject of research of more than 20 years. Typical goals of this research was to find the optimal partitioning with respect to the system performance, and possibly a couple of other properties such as power consumption, or resource utilization (e.g. related to CPU memory footprint and FPGA area). However, by significant increase in complexity of the applications, and inclusion of different requirements, the partitioning decisions become more complex, as well as the entire development process with an integrated partitioning decision process. Today there is a lack of a systematic approach for partitioning complex applications. This thesis addresses this challenge. The main objective of the thesis is to design and build a systematic partitioning decision process that includes many requirements of different types. The thesis describes a new method MULTIPAR that includes the partitioning decision process for component-based embedded systems. The method is based on model-based engineering principles; components are analysed as models which can be implemented either as a SW or HW components, and the implementation itself is performed at a late stage of the development process. The partition is based on the optimisation of the application’s and components’ extra-functional properties (EFPs) that are derived from the requirements and project constraints. For the optimization a Multiple Criteria Decision Analysis (MCDA) method is used. As a part of the main contribution, the thesis includes several independent contributions that are of a more general character: a) modeling principles for component-based applications which consists of SW and HW components, and a component can be implemented as SW or/and HW code; b) a classification and analysis of EFPs in respect to the dependency on their HW or SW implementation; c) composition rules for some of EFPs for SW and HW components; d) suitability and limitations of MCDA methods in their usage for the partitioning decisions. MULTIPAR is also implemented in a form of a tool that enables a selection of components and analysis of the system in respect to the selected EFPs. The feasibility of MULTIPAR was validated through two industrial cases. The thesis is organized in two parts; the first part includes an introduction summarizing the overall work and discussing the research approach, and the second part collect the most relevant papers published in different venues.

Place, publisher, year, edition, pages
Västerås: Mälardalen University, 2016
Series
Mälardalen University Press Dissertations, ISSN 1651-4238 ; 210
National Category
Embedded Systems
Research subject
Computer Science
Identifiers
urn:nbn:se:mdh:diva-33210 (URN)978-91-7485-284-4 (ISBN)
Public defence
2016-11-04, Lambda, Mälardalens högskola, Västerås, 09:15 (English)
Opponent
Supervisors
Available from: 2016-09-23 Created: 2016-09-22 Last updated: 2016-09-23Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
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More styles
Language
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Output format
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