Evaluating Distortion in Fault Injection Experiments

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It has become well-established that software will never become bug-free, which has spurred research in mechanisms to contain faults and recover from them. Since such mechanisms deal with faults, fault injection is necessary to evaluate their effectiveness. However, little thought has been put into the question whether fault injection experiments faithfully represent the fault model designed by the user. Correspondence with the fault model is crucial to be able to draw strong and general conclusions from experimental results. The aim of this
paper is twofold: to make a case for carefully evaluating whether activated faults match the fault model and to gain a better understanding of which parameters affect the deviation of the
activated faults from the fault model. To achieve the latter, we instrumented a number of programs with our LLVM-based fault injection framework. We investigated the biases introduced by
limited coverage, parts of the program executed more often than others and the nature of the workload. We evaluated the key factors that cause activated faults to deviate from the model and from these results provide recommendations on how to reduce such deviations.
Original languageEnglish
Title of host publicationProceedings of the 15th IEEE International Symposium on High Assurance Systems Engineering
PublisherIEEE CS
ISBN (Electronic)978-1-4799-3465-2
Publication statusPublished - 2014
Event15th IEEE International Symposium on High Assurance Systems Engineering (HASE) -
Duration: 9 Jan 201411 Jan 2014


Conference15th IEEE International Symposium on High Assurance Systems Engineering (HASE)


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