An Experimental Evaluation of Software Redundancy as a Strategy for Improving Reliability

  • Authors:
  • Dave E. Eckhardt;Alper K. Caglayan;John C. Knight;Larry D. Lee;David F. McAllister;Mladen A. Vouk;John J. P. Kelly

  • Affiliations:
  • NASA Langley Research Center;Charles River Analytics Inc., Cambridge, MA;Univ. of Virginia, Charlottesville;Old Dominion Univ., Norfolk, VA;-;North Carolina State Univ., Raleigh;Univ. of California, Santa Barbara

  • Venue:
  • IEEE Transactions on Software Engineering
  • Year:
  • 1991

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Abstract

The strategy of using multiple versions of independently developed software as a means to tolerate residual software design faults is discussed. The effectiveness of multiversion software is studied by comparing estimates of the failure probabilities of these systems with the failure probabilities of single versions. The estimates are obtained under a model of dependent failures and compared with estimates obtained when failures are assumed to be independent. The experimental results are based on 20 versions of an aerospace application developed and independently validated by 60 programmers from 4 universities. Descriptions of the application and development process are given, together with an analysis of the 20 versions.