System dependability evaluation via a fault list generation algorithm

Smith, D.T.; Johnson, B.W.; Profeta, J.A.

doi:10.1109/12.536240

Cited by 15 publications

(10 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [30], the authors analyze fault/error propagation and data flow diagrams in VHDL-models in order to select a fault list for fault injection which will fully exercise the fault detection and processing aspects of the model.…”

Section: Related Workmentioning

confidence: 99%

EPIC: profiling the propagation and effect of data errors in software

Hiller

Jhumka

Suri

2004

IEEE Trans. Comput.

View full text Add to dashboard Cite

Abstract-We present an approach for analyzing the propagation and effect of data errors in modular software enabling the profiling of the vulnerabilities of software to find 1) the modules and signals most likely exposed to propagating errors and 2) the modules and signals which, when subjected to error, tend to cause more damage than others from a systems operation point-of-view. We discuss how to use the obtained profiles to identify where dependability structures and mechanisms will likely be the most effective, i.e., how to perform a cost-benefit analysis for dependability. A fault-injection-based method for estimation of the various measures is described and the software of a real embedded control system is profiled to show the type of results obtainable by the analysis framework.

show abstract

Section: Related Workmentioning

confidence: 99%

EPIC: profiling the propagation and effect of data errors in software

Hiller

Jhumka

Suri

2004

IEEE Trans. Comput.

View full text Add to dashboard Cite

show abstract

“…In [11], a 3-stage random sampling technique is developed; however, a drawback of random selection is the high probability that the injected faults will remain latent, therefore leading to no-response fault insertion experiments. Another selection mechanism reported in [12] is based on fault-list generation. It is an ad hoc technique that depends on the analysis of dataflow and the instruction-set architecture.…”

Section: Fault-insertion Testmentioning

confidence: 99%

Physical defect modeling for fault insertion in system reliability test

Zhang

Wang

et al. 2009

2009 International Test Conference

View full text Add to dashboard Cite

show abstract

“…There are a number of programs and tools for efficient fault injection [2,7,10,22,24,26,28,31,35,43,45,49,55,56]. There are efforts to model fault propagation and effect [5,7,12,17,19,22,23,27,28,30,32,36,38,39,40,41,44,45,47,50,52]. Coverage is a popular topic, and the meaning of coverage can vary from simple detection to complete system recovery and reconfiguration [1,2,3,4,5,10,11,12,15,16,17,18,20,21,27,…”

Section: Literature Surveymentioning

confidence: 99%