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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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