A Reallocation Approach for Software Trustworthiness Based on Trustworthy Attributes

Tao, Hongwei; Chen, Yixiang; Wu, Hengyang

doi:10.3390/math8010014

Cited by 12 publications

(17 citation statements)

References 28 publications

(40 reference statements)

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“…Trustworthiness is essential for various areas of information technology. For example, in software design and development, it represents the software quality and considers the software attributes [5,6]. In cyber security awareness, the trustworthiness metric incorporates security, safety, privacy, resilience, and reliability metrics.…”

Section: Related Researchmentioning

confidence: 99%

Construction and Analysis of Integral User-Oriented Trustworthiness Metrics

et al. 2022

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Trustworthiness metrics help users to understand information system’s or a device’s security, safety, privacy, resilience, and reliability level. These metrics have different types and natures. The challenge consists of the integration of these metrics into one clear, scalable, sensitive, and reasonable metric representing overall trustworthiness level, useful for understanding if the users can trust the system or for the comparison of the devices and information systems. In this research, the authors propose a novel algorithm for calculation of an integral trustworthiness risk score that is scalable to any number of metrics, considers their criticality, and does not perform averaging in a case when all metrics are of equal importance. The obtained trustworthiness risk score could be further transformed to trustworthiness level. The authors analyze the resulting integral metric sensitivity and demonstrate its advantages on the series of experiments.

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Section: Related Researchmentioning

confidence: 99%

Construction and Analysis of Integral User-Oriented Trustworthiness Metrics

et al. 2022

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“…In this paper, AHP weight calculation method introduced in reference [41] is used to calculate the weight of fire risk attributes. The weight reflects the importance of fire risk attributes to the risk degree of intelligent building fires.…”

Section: A Fire Risk Trustworthy Assessment Modelmentioning

confidence: 99%

A Trustworthy Classification Model for Intelligent Building Fire Risk

Wang

Chen

2022

IEEE Access

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The occurrence of intelligent building fires causes huge economic losses to the country and society, and even people's safety. It is necessary to accurately assess the degree of intelligent building fire risk so that the fire emergency management department can make scientific decisions. In this paper, a trustworthy classification model for intelligent building fire risk is proposed, which provides a scientific and reasonable model supporting the classification assessment of intelligent building fire risk. The model integrates Bayesian Network (BN) and software trustworthy computing approach. BN is used to calculate the risk value of attributes that describe the fire risk situation of the intelligent building from 7 profiles. Based on the fire risk attribute values, trustworthy computing is adopted to classify the fire risk into 5 ranks which indicates the severity degree of building fire risk: the higher the rank is, the greater the harm is. Taking the Shanghai Jing'an 11.15 fire as an example, the result confirms that the method proposed in this paper has good theoretical significance and practical value. In addition, we compare our method with 3 fire risk assessment methods in the reference. The comparisons illustrate that the trustworthy classification model proposed in this paper is more comprehensive, rational, and scientific.

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“…Moreover, a polynomial allocation algorithm is given for computing the optimal solution of mathematical programming. Based on [7], they also established a reallocation approach for modeling software trustworthiness [15]. Component-based software development (CBSD) is the mainstream technology of developing software.…”

Section: A Backgroundmentioning

confidence: 99%

“…However, in [7], it needed to find the optimal solution of the allocation of software attribute trustworthiness. In order to obtain more optimal solutions, Tao et al reallocated the sub-attributes in [15].…”

Section: B Related Workmentioning

confidence: 99%

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Multi-Value Models for Allocation of Software Component Development Costs Based on Trustworthiness

Wang

et al. 2020

IEEE Access

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The trustworthiness of software is an important attribute. The cost of software development increases with its improvement by software trustworthiness. As one of main methods of software development, component-based software development can reduce development costs to a certain extent. However, it is important to study how to allocate the given development costs to each component so that software trustworthiness can be optimized. First, multi-value models for allocation of software component development costs are established based on different structures of software system. Second, algorithms for allocation of software component development costs can be designed by using dynamic programming. The proposed allocation algorithms can allocate development costs to each component to optimize software trustworthiness. Furthermore, in order to allocate development costs to each component automatically, a web-based software tool for allocating development costs to each component is developed. Finally, a case study of a self-service ticketing system is provided to show the feasibility of the proposed allocation algorithms. INDEX TERMS Allocation algorithm, component, development costs, dynamic programming, software trustworthiness.

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A Reallocation Approach for Software Trustworthiness Based on Trustworthy Attributes

Cited by 12 publications

References 28 publications

Construction and Analysis of Integral User-Oriented Trustworthiness Metrics

Construction and Analysis of Integral User-Oriented Trustworthiness Metrics

A Trustworthy Classification Model for Intelligent Building Fire Risk

Multi-Value Models for Allocation of Software Component Development Costs Based on Trustworthiness

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