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Fault Classification Oriented Spectrum Based Fault Localization
2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC), 2017The commonly-used software fault localization approaches mainly utilize test coverage information and test cases execution results to calculate the suspiciousness of each program entity to identify the location of faults, namely spectrum based software fault localization (SBFL).
Xiujing Liu +3 more
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Classification of faults in synchronous sequential circuits
IEEE Transactions on Computers, 1993Undetectable and redundant faults in synchronous sequential circuits are analyzed. A distinction is drawn between undetectable faults and faults that are never manifested as output errors. The latter are classified as redundant. It is shown that there are faults for which a test sequence does not exist; however, under certain initial conditions (or ...
Irith Pomeranz, Sudhakar M. Reddy
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A Fuzzy Decision Tree for Fault Classification
Risk Analysis, 2008In plant accident management, the control room operators are required to identify the causes of the accident, based on the different patterns of evolution of the monitored process variables thereby developing. This task is often quite challenging, given the large number of process parameters monitored and the intense emotional states under which it is ...
ZIO, ENRICO +2 more
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Fault Classification for SRAM-Based FPGAs in the Space Environment for Fault Mitigation
IEEE Embedded Systems Letters, 2010This letter proposes a classification algorithm to discriminate between recoverable and not recoverable faults occurring in static random access memory (SRAM)-based field-programmable gate arrays (FPGAs), with the final aim of devising a methodology to enable the exploitation of these devices also in space applications, typically characterized by long ...
BOLCHINI, CRISTIANA, SANDIONIGI, CHIARA
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On the Classification of Faults
Geological Magazine, 1929The experience of several years' teaching in the interpretation of geological maps has convinced the writer of the need for some more satisfactory method of classifying faults than has hitherto obtained.
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AAPG Bulletin, 1943
ABSTRACT A classification of faults based on the type of mechanical failure involved is proposed. The types recognized are: (1) normal diagonal shears, (2) reverse diagonal shears, (3) horizontal faults, (4) tension faults, (5) lateral shears, and (6) vertical shears. The types are diagrammed and, with the exception of vertical shears,
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ABSTRACT A classification of faults based on the type of mechanical failure involved is proposed. The types recognized are: (1) normal diagonal shears, (2) reverse diagonal shears, (3) horizontal faults, (4) tension faults, (5) lateral shears, and (6) vertical shears. The types are diagrammed and, with the exception of vertical shears,
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An optimal retry policy based on fault classification
IEEE Transactions on Computers, 1994Summary: An optimal retry policy in a computer system is usually derived under the unrealistic assumption that fault characteristics are known \textit{a priori} and remain unchanged throughout the mission lifetime. In such a case, the optimal retry period depends only upon the system's status at the time of fault detection.
Tein-Hsiang Lin, Kang G. Shin
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Classification of fault trees and algorithms of fault tree analysis
Microelectronics Reliability, 1990Abstract A new classification of fault trees is proposed, and the relationship between the new and old classifications is discussed. The new classification is illustrated with an example, and the limitation of the well-known simple prime implicant algorithm, which can work on fault trees, is shown.
Yan Chunning, Shi Dinghua
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Fault detection and classification with DNA chips
Proceedings of the 2003 IEEE International Symposium on Intelligent Control ISIC-03, 2003DNA chips are currently used for gene expression studies of cells and tissues under different conditions. The same principle can be applied in control engineering to supervise industrial plants, determine operating conditions, detect or classify faults using thousands of sampled analog or binary variables.
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Uncertain Classification of Fault-Prone Software Modules
Empirical Software Engineering, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Taghi M. Khoshgoftaar +4 more
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