Developing integrated hardware-software reliability models: difficulties and issues [for digital avionics]

Boyd, Mark; Monahan, C.M.

doi:10.1109/dasc.1995.482829

Cited by 7 publications

(5 citation statements)

References 19 publications

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“…Examples include embedded systems for automotive and avionics applications, telecommunications, wireless ad hoc systems, business applications with an emphasis on web services, etc [1]. However, since the interaction between hardware and software in this type of system [2,3], to accurately evaluate its reliability, a systematic evaluation method must be established from the perspective of software and hardware integration.…”

Section: Introductionmentioning

confidence: 99%

The Reliability Evaluation Method of Software and Hardware Integrated Systems Based on Belief Reliability

2020

Proceedings of 2020 the 10th International Workshop on Computer Science and Engineering

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Existing software and hardware integrated systems reliability evaluation methods ignore the problem of different failure mechanisms of hardware and software; thus, there are some limitations. In view of the above problems, this paper firstly studies time/state-based failure. Moreover, for the problem of reliability measurement in the presence of epistemic uncertainty, a calculation method of epistemic uncertainty factor of software and hardware integrated systems based on failure mode and effect analysis application effect and software and hardware comprehensive reliability test application effect is proposed. Furthermore, a belief reliability evaluation method with comprehensive consideration of design margin, aleatory uncertainty and epistemic uncertainty is presented. Finally, the proposed method is demonstrated and verified through application case. The results show that the existence of epistemic uncertainty will reduce people's trust in "system reliability".

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Section: Introductionmentioning

confidence: 99%

The Reliability Evaluation Method of Software and Hardware Integrated Systems Based on Belief Reliability

2020

Proceedings of 2020 the 10th International Workshop on Computer Science and Engineering

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“…Finally, they demonstrated the use of reliability testing to verify whether a system meets a certain reliability requirement with a stated confidence level. Boyd and Monahan (1995) have also studied approaches related to hardware and software reliability modeling and emphasised the criticality of integrating HW-SW reliability evaluation technique into a single model.…”

Section: Introductionmentioning

confidence: 99%

Survey of combined hardware–software reliability prediction approaches from architectural and system failure viewpoint

Sinha

Goyal

Mall

2019

Int J Syst Assur Eng Manag

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Apart from hardware and software-specific failures, failures arising from hardware-software interaction causes notorious system failures. Researches have reported two types of interaction failures in a system: hardwaredriven software failure and software-driven hardware failure. An efficient reliability prediction approaches must consider all types of interactions. We critically analyse the existing reliability prediction models for the combined hardware-software system. We also propose a comparison framework to evaluate the existing reliability models for combined hardware-software systems. The results of our study suggest that none of the considered approaches completely satisfy the characteristics of a good reliability prediction model. Existing approaches hardly consider all types of hardware-software interactions. They also fail to consider reliability aspects of distributed systems where a system interacts with external devices. Our proposed comparison framework can be used as a benchmark to construct an efficient reliability prediction model for combined hardware-software systems.

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“…First, software does not break or wear-out over time 13 . Software failures occur without warning and they occur the first time the defective sequence is processed.…”

Section: Introductionmentioning

confidence: 99%

“…Second, a fault tree analysis of software failures reveals that software failures are mainly due to software development defects 13 . Failures of highly innovative CE products are far more complex.…”

Section: Introductionmentioning

confidence: 99%

Towards a more systematic analysis of uncertain user–product interactions in product development: an enhanced user–product interaction framework

Liu

Ouden

Brombacher

et al. 2007

Quality & Reliability Eng

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For highly innovative products the actual product use is often very uncertain. However, the uncertainty/variability in product use and its impact on product reliability has rarely been explored. The mismatch between the anticipated product use and the actual product use can lead to considerable unexpected technical and non-technical reliability risks. However, traditional reliability management techniques focus primarily on managing technical reliability risks. This situation results in an increasing amount of no-fault-found or fault-not-found reports in the highly innovative consumer electronics (CE) industry. Under the time-to-market pressure, it is increasingly important to take into consideration the significant factors that determine product use in the early product development process. In the Software Reliability Engineering (SRE) framework, a top-down approach (operational profile) is used to analyse the product use. However, an operational profile cannot be directly applied to analyse product use for CE products due to the differences between the reliability of software products and that of CE products. This paper proposes an enhanced framework to structurally analyse unexpected user-product interactions for highly innovative CE products. In this framework, the product, user and environmental conditions are used to analyse user-product interactions.

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Developing integrated hardware-software reliability models: difficulties and issues [for digital avionics]

Cited by 7 publications

References 19 publications

The Reliability Evaluation Method of Software and Hardware Integrated Systems Based on Belief Reliability

The Reliability Evaluation Method of Software and Hardware Integrated Systems Based on Belief Reliability

Survey of combined hardware–software reliability prediction approaches from architectural and system failure viewpoint

Towards a more systematic analysis of uncertain user–product interactions in product development: an enhanced user–product interaction framework

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