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Home»Articles»The Methodology of N-Version Programming

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Asian Journal of Computer Science and Technology (AJCST)

Editor Dr. K. Ganesh
Print ISSN : 2249-0701
Frequency : Quarterly

The Methodology of N-Version Programming

Author : Phalguna Rao Kuna
Volume 8 No.3 Special Issue:June 2019 pp 16-18

Abstract

Software Fault Tolerance is evolved as a technique to increase the dependability of computing systems. Because of limitations with producing of error free software, Majority of software errors are design faults. The root cause for software design errors is the complexity of the problem domain. Software Fault Tolerance (SFT) has become an important concern A number of Fault Tolerance techniques designed at minimizing the effect of software faults are being investigated. An N-version software (NVS) unit is a fault tolerant software unit that depends on a generic decision algorithm to determine a consensus result from the results delivered by two or more member versions of the NVS unit. Results of five consecutive experimental investigations are summarized, and a design paradigm for NVS is presented. In this paper, a critical review of NVP is presented. The advantages, current challenges, and further research areas of NVP are discussed.

Keywords

Design Diversity, Software Complexity, Software Fault Tolerance, N-Version Programming

Full Text:

References

[1] Ken S. Lew, Tharam Dillon, and Kevin Forward “Software Complexity and Its Impact on software Reliability”, IEEE –Software Eng., Vol. 14, No. 11, pp. 1645-1655, Nov. 1988.
[2] “Fault Tolerance and fault intolerance. Complimentary approaches to reliable computing”, A. Avizienis, Proc. 1975 Int. Conf. Reliable Software, Los Angels, CA, pp. 458-464, Apr. 21- 27, 1975.
[3] A. Avizienis, “N-Version Approach to fault tolerant Software”, IEEE Software e.g., Vol. SE.11, No.12, pp. 1491 -1501, Dec. 1985
[4] B. Randell, “System structure for Software Fault Tolerance”, IEEE Software Eng., Vol. SE.1, pp. 220-232, June 1975.
[5] “Information processing systems-Reliability and requirements”, Proc. East. Joint Comput. Conf., Washington, DC, pp. 8-10, December 1953.
[6] J. Oblonsky, “A self correcting computer”, Digital Information processors, W. Hoffman, Ed. New York: Inter science, pp. 533-542, 1962.
[7] J.F. Barlett, “A Non Stop operating system”, Proc. Hawaii Int. Conf. Syst. Sci, Honolulu, HI, pp 103-119. Reprinted in Theory and Practice of reliable System Design. Bedford, MA: Digital press, pp. 453-460, January 5-6, 1978.
[8] Timothy C.K. Chou, “Beyond Fault Tolerance”, IEEE Computer, pp. 47-49, April 1997.
[9] S. N. Wood field, “An experiment on unit increase in program complexity”, IEEE-Software Eng., Vol-SE. 5, No. 2, pp. 76-79, 1979.
[10] A. Avizienis and L. Chen, “On the implementation of NVP for Fault Tolerance”, Proc. COMPSAC 77, 1st IEEE-CS Int. Compute. Software. Appl. Conf., Chicago, IL, pp. 149-155, Nov. 8-11, 1977
[11] “A Theoretical Investigation of Generalized Voters for Redundant Systems”, Lorczak, Digest of Papers FTCS-19:The Nineteenth International Symposium on Fault-Tolerant Computing, pp. 444-451, 1989.
[12] “Dependable, Intelligent Voting for Real-Time Control Software”, Engineering Applications of Artificial Intelligence, Vol. 8, No. 6, pp. 615-623, Dec. 1995.
[13] Peter Bishop, “Software Fault Tolerance by Design Diversity”, Software Fault Tolerance, John Wiley & Sons, 1995.
[14] “Software Fault Tolerance: A Tutorial”, Wilfredo Torres-Pomales, NASA Technical Memorandum, Oct. 2000.
[15] James M. Purtilo and Pankaj Jalote, “An Environment for Developing Fault-Tolerant Software”, IEEE-Software Eng., Vol. 17, No. 2, Feb 1991.

Asian Journal of Computer Science and Technology is a peer-reviewed international journal that publishes high-quality scientific articles (both theory and practice) and research papers covering all aspects of future computer and Information Technology areas. Topics include, but are not limited to:

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Software Fault Tolerance is evolved as a technique to increase the dependability of computing systems. Because of limitations with producing of error free software, Majority of software errors are design faults. The root cause for software design errors is the complexity of the problem domain. Software Fault Tolerance (SFT) has become an important concern A number of Fault Tolerance techniques designed at minimizing the effect of software faults are being investigated. An N-version software (NVS) unit is a fault tolerant software unit that depends on a generic decision algorithm to determine a consensus result from the results delivered by two or more member versions of the NVS unit. Results of five consecutive experimental investigations are summarized, and a design paradigm for NVS is presented. In this paper, a critical review of NVP is presented. The advantages, current challenges, and further research areas of NVP are discussed.

Editor-in-Chief
Dr. K. Ganesh
Global Lead, Supply Chain Management, Center of Competence and Senior Knowledge
Expert at McKinsey and Company, India
[email protected]
Editorial Advisory Board
Dr. Eng. Hamid Ali Abed AL-Asadi
Department of Computer Science, Basra University, Iraq
[email protected]
Dr. Norjihan Binti Abdul Ghani
Department of Information System, University of Malaya, Malaysia
[email protected]
Dr. Christos Bouras
Department of Computer Engineering & Informatics, University of Patras, Greece
[email protected]
Dr. Maizatul Akmar Binti Ismail
Department of Information System, University of Malaya, Malaysia
[email protected]
Dr. Harold Castro
Department of Systems Engineering and Computing, University of the Andes, Colombia
[email protected]
Dr. Busyairah Binti Syd Ali
Department of Software Engineering, University of Malaya, Malaysia
[email protected]
Dr. Sri Devi Ravana
Department of Information system, University of Malaya, Malaysia
[email protected]
Dr. Karpaga Selvi Subramanian
Department of Computer Engineering, Mekelle University, Ethiopia
[email protected]
Dr. Mazliza Binti Othman
Department of Computer System & Technology, University of Malaya, Malaysia
[email protected]
Dr. Chiam Yin Kia
Department of Software Engineering, University of Malaya, Malaysia
[email protected]
Dr. OUH Eng Lieh
Department of Information Systems, Singapore Management University, Singapore
[email protected]

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    Editorial Note

    Editorial Dr. K. Ganesh

    Editor-in-Chief
    Dr. K. Ganesh
    Global Lead, Supply Chain Management, Center of Competence and Senior Knowledge
    Expert at McKinsey and Company, India
    [email protected]
    Editorial Advisory Board
    Dr. Eng. Hamid Ali Abed AL-Asadi
    Department of Computer Science, Basra University, Iraq
    [email protected]
    Dr. Norjihan Binti Abdul Ghani
    Department of Information System, University of Malaya, Malaysia
    [email protected]
    Dr. Christos Bouras
    Department of Computer Engineering & Informatics, University of Patras, Greece
    [email protected]
    Dr. Maizatul Akmar Binti Ismail
    Department of Information System, University of Malaya, Malaysia
    [email protected]
    Dr. Harold Castro
    Department of Systems Engineering and Computing, University of the Andes, Colombia
    [email protected]
    Dr. Busyairah Binti Syd Ali
    Department of Software Engineering, University of Malaya, Malaysia
    [email protected]
    Dr. Sri Devi Ravana
    Department of Information system, University of Malaya, Malaysia
    [email protected]
    Dr. Karpaga Selvi Subramanian
    Department of Computer Engineering, Mekelle University, Ethiopia
    [email protected]
    Dr. Mazliza Binti Othman
    Department of Computer System & Technology, University of Malaya, Malaysia
    [email protected]
    Dr. Chiam Yin Kia
    Department of Software Engineering, University of Malaya, Malaysia
    [email protected]
    Dr. OUH Eng Lieh
    Department of Information Systems, Singapore Management University, Singapore
    [email protected]

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