Compensation model of multi-attribute decision making and its application to N-version software choice

Denis V. Gruzenkin; Galina V. Grishina; Mustafa Seçkin Durmuş; İlker Üstoǧlu; Roman Yu Tsarev

doi:10.1007/978-3-319-57141-6_16

Compensation model of multi-attribute decision making and its application to N-version software choice

Denis V. Gruzenkin, Galina V. Grishina, Mustafa Seçkin Durmuş, İlker Üstoǧlu, Roman Yu Tsarev

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

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.

Original language	English
Title of host publication	Software Engineering Trends and Techniques in Intelligent Systems - Proceedings of the 6th Computer Science On-line Conference, CSOC 2017
Editors	Radek Silhavy, Roman Senkerik, Zuzana Kominkova Oplatkova, Zdenka Prokopova, Petr Silhavy
Publisher	Springer Verlag
Pages	148-157
Number of pages	10
ISBN (Print)	9783319571409
DOIs	https://doi.org/10.1007/978-3-319-57141-6_16
Publication status	Published - 2017
Externally published	Yes
Event	6th Computer Science On-line Conference, CSOC 2017 - Prague, Czech Republic Duration: 26 Apr 2017 → 29 Apr 2017

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	575
ISSN (Print)	2194-5357

Conference

Conference	6th Computer Science On-line Conference, CSOC 2017
Country/Territory	Czech Republic
City	Prague
Period	26/04/17 → 29/04/17

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG 2017.

Keywords

Compensation model
Dependability
Multi-attribute decision making
N-version software

Access to Document

10.1007/978-3-319-57141-6_16

Cite this

Gruzenkin, D. V., Grishina, G. V., Durmuş, M. S., Üstoǧlu, İ., & Tsarev, R. Y. (2017). Compensation model of multi-attribute decision making and its application to N-version software choice. In R. Silhavy, R. Senkerik, Z. Kominkova Oplatkova, Z. Prokopova, & P. Silhavy (Eds.), Software Engineering Trends and Techniques in Intelligent Systems - Proceedings of the 6th Computer Science On-line Conference, CSOC 2017 (pp. 148-157). (Advances in Intelligent Systems and Computing; Vol. 575). Springer Verlag. https://doi.org/10.1007/978-3-319-57141-6_16

Gruzenkin, Denis V. ; Grishina, Galina V. ; Durmuş, Mustafa Seçkin et al. / Compensation model of multi-attribute decision making and its application to N-version software choice. Software Engineering Trends and Techniques in Intelligent Systems - Proceedings of the 6th Computer Science On-line Conference, CSOC 2017. editor / Radek Silhavy ; Roman Senkerik ; Zuzana Kominkova Oplatkova ; Zdenka Prokopova ; Petr Silhavy. Springer Verlag, 2017. pp. 148-157 (Advances in Intelligent Systems and Computing).

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title = "Compensation model of multi-attribute decision making and its application to N-version software choice",

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.",

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Gruzenkin, DV, Grishina, GV, Durmuş, MS, Üstoǧlu, İ & Tsarev, RY 2017, Compensation model of multi-attribute decision making and its application to N-version software choice. in R Silhavy, R Senkerik, Z Kominkova Oplatkova, Z Prokopova & P Silhavy (eds), Software Engineering Trends and Techniques in Intelligent Systems - Proceedings of the 6th Computer Science On-line Conference, CSOC 2017. Advances in Intelligent Systems and Computing, vol. 575, Springer Verlag, pp. 148-157, 6th Computer Science On-line Conference, CSOC 2017, Prague, Czech Republic, 26/04/17. https://doi.org/10.1007/978-3-319-57141-6_16

Compensation model of multi-attribute decision making and its application to N-version software choice. / Gruzenkin, Denis V.; Grishina, Galina V.; Durmuş, Mustafa Seçkin et al.
Software Engineering Trends and Techniques in Intelligent Systems - Proceedings of the 6th Computer Science On-line Conference, CSOC 2017. ed. / Radek Silhavy; Roman Senkerik; Zuzana Kominkova Oplatkova; Zdenka Prokopova; Petr Silhavy. Springer Verlag, 2017. p. 148-157 (Advances in Intelligent Systems and Computing; Vol. 575).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Compensation model of multi-attribute decision making and its application to N-version software choice

AU - Gruzenkin, Denis V.

AU - Grishina, Galina V.

AU - Durmuş, Mustafa Seçkin

AU - Üstoǧlu, İlker

AU - Tsarev, Roman Yu

N1 - Publisher Copyright: © Springer International Publishing AG 2017.

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Compensation model

KW - Dependability

KW - Multi-attribute decision making

KW - N-version software

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DO - 10.1007/978-3-319-57141-6_16

M3 - Conference contribution

AN - SCOPUS:85018682131

SN - 9783319571409

T3 - Advances in Intelligent Systems and Computing

SP - 148

EP - 157

BT - Software Engineering Trends and Techniques in Intelligent Systems - Proceedings of the 6th Computer Science On-line Conference, CSOC 2017

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A2 - Senkerik, Roman

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A2 - Prokopova, Zdenka

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PB - Springer Verlag

T2 - 6th Computer Science On-line Conference, CSOC 2017

Y2 - 26 April 2017 through 29 April 2017

ER -

Gruzenkin DV, Grishina GV, Durmuş MS, Üstoǧlu İ, Tsarev RY. Compensation model of multi-attribute decision making and its application to N-version software choice. In Silhavy R, Senkerik R, Kominkova Oplatkova Z, Prokopova Z, Silhavy P, editors, Software Engineering Trends and Techniques in Intelligent Systems - Proceedings of the 6th Computer Science On-line Conference, CSOC 2017. Springer Verlag. 2017. p. 148-157. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-57141-6_16

Compensation model of multi-attribute decision making and its application to N-version software choice

Abstract

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Bibliographical note

Keywords

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