Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/9295
Title: Compensation model of multi-attribute decision making and its application to N-version software choice
Authors: Gruzenkin, D.V.
Grishina, G.V.
Durmuş, Mustafa Seçkin
Üstoglu, I.
Tsarev, R.Y.
Keywords: Compensation model
Dependability
Multi-attribute decision making
N-version software
Application programs
Computer software
Computer software selection and evaluation
Fault tolerance
Intelligent systems
Redundancy
Software design
Software engineering
Compensation modeling
Multi attribute decision making
N version programming
Optimal variants
Real-life information
Software development approach
Software selection
Decision making
Publisher: Springer Verlag
Abstract: Multi-attribute decision making deals with discrete finite set of alternatives. The solution to the multi-attribute decision making problem is the choice of an alternative from the set of all possible alternatives on the base of usually contradicting attributes. In this paper, a new multi-attribute decision making model is presented. The proposed model develops a linear compensatory process for the interconnected attributes. It concerns the overall ranking of the alternatives based on the attribute-wise ranking as well as the interaction and the combination of the attributes. The compensation model of multi-attribute decision making is applied to N-version software selection. N-version programming is one of the well-known software development approach which ensures high dependability and fault tolerance of software. However, the problem of extra resource involvement arises since the N-version programming stipulates program redundancy. A set of characteristics/attributes have to be considered when choosing an optimal variant of N-version software. The proposed compensation model of multi-attribute decision making provides a solution to this problem. Additionally, a case study on choosing N-version software for a real-life information and control system problem is provided to verify the correctness of our model. © Springer International Publishing AG 2017.
URI: https://hdl.handle.net/11499/9295
https://doi.org/10.1007/978-3-319-57141-6_16
ISBN: 21945357 (ISSN)
9783319571409
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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