Error recovery using forced validity assisted by executable assertions for error detection: an experimental evaluation

Hiller, Martin

doi:10.1109/eurmic.1999.794768

Cited by 5 publications

(3 citation statements)

References 10 publications

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“…Experimental approaches for the design of EDMs have often focused on evaluating existing EDMs, typically with respect to measures such as coverage and latency [18], [19]. This is typically done with a view to the evaluation informing EDM design.…”

Section: B Experimental Evaluationmentioning

confidence: 99%

On Basis Variables for Efficient Error Detection

Fairbrother¹,

Leeke

2017

2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing,

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Section: B Experimental Evaluationmentioning

confidence: 99%

On Basis Variables for Efficient Error Detection

Fairbrother¹,

Leeke

2017

2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing,

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“…Although Rate of Change (ROC) based plausibility checks for error detection and recovery have been addressed by [1,2], unfortunately none of the previous studies propose the separation of these error handling concerns from true functionality to avoid complexity.…”

Section: Introductionmentioning

confidence: 99%

Separation of Fault Tolerance and Non-Functional Concerns: Aspect Oriented Patterns and Evaluation

Hameed¹,

Williams²,

Smith

2010

JSEA

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“…In [8] a monitoring technique has been developed which supports detection and handling of timing errors. Another approach is called forced validity [9]. Upon the detection of constraint violation, the faulty data value is reset to a valid value.…”

Section: Constraint Checkingmentioning

confidence: 99%

An architecture supporting monitoring and configuration in real-time smart transducer networks

Peti

Obermaisser

Elmenreich

et al.

Proceedings of IEEE Sensors

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A smart transducer network consists of a set of transducer nodes interconnected with a digital bus. Smart transducer technology implicates the development of systems supporting the timely exchange of real-time data. Additional requirements are support for system integration, mechanisms for dynamic reconfiguration, and diagnostic interfaces. Such systems should be composable and ease controlling system complexity, i. e. support the system engineer in understanding the system behavior. Furthermore, developers expect diagnostic services, which are deterministic, reproducible, and do not interfere with real-time services. This paper describes three interfaces for smart transducer networks, which provide the required services while yielding the mentioned properties. We describe a case study demonstrating the effectiveness of the three interfaces for the proclaimed purpose.

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Error recovery using forced validity assisted by executable assertions for error detection: an experimental evaluation

Abstract: Abstract

Cited by 5 publications

References 10 publications

On Basis Variables for Efficient Error Detection

On Basis Variables for Efficient Error Detection

Separation of Fault Tolerance and Non-Functional Concerns: Aspect Oriented Patterns and Evaluation

An architecture supporting monitoring and configuration in real-time smart transducer networks

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