Theoretical and empirical validation of software trustworthiness measure based on the decomposition of attributes

Tao, Hongwei; Chen, Yixiang; Wu, Hengyang

doi:10.1080/09540091.2022.2061424

Cited by 6 publications

(4 citation statements)

References 30 publications

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“…(3) A software trustworthiness evaluation model via the relationships between criteria is presented, which can not only be applied for the ranking of candidate software on trustworthiness, but also for the trustworthiness measurement of candidate software. Meanwhile, we theoretically validate this model by proving that it complies with the properties introduced in [19], and empirically verify it through a case study.…”

Section: Introductionmentioning

confidence: 71%

“…To more rigorously measure software trustworthiness and theoretically verify the model, Tao et al evaluate software trustworthiness using axiomatic methods, present the expected properties of software trustworthiness measures, and build a series of models that satisfy these properties [16][17][18][19][20].…”

Section: Related Workmentioning

confidence: 99%

“…They can offer precise terms for the software attributes' quantification. They have been utilized to assess software trustworthiness [16][17][18][19][20]42]. In this paper, a simplified software trustworthiness metric model presented in [42] is applied to aggregate µ c j (a).…”

Section: Definition 3 (Symmetric Substitutivity Between Criteria)mentioning

confidence: 99%

“…The essence of this method is to predict the trustworthiness of attributes according to the internal attribute values. Typical models for the synthesis of trustworthy attribute values include machine learning [11][12][13][14][15], axiomatic approaches [16][17][18][19][20], uncertainty theory [21][22][23][24], system testing [25], the social-to-software framework [26], user feedback [27], heuristic-systematic processing [28], the development framework [29], crowd wisdom [30], etc.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Software Trustworthiness Evaluation Strategy via Relationships between Criteria

et al. 2022

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Software trustworthiness evaluation is regarded as a multi-criteria decision-making problem. However, most current software trustworthiness evaluation methods do not consider the relationships between criteria. In this paper, we present a software trustworthiness evaluation strategy via the relationships between criteria. Because the trustworthy attribute degree is evaluated by a criterion, a trustworthy attribute measurement method based on fuzzy theory is first proposed, and the relationships between criteria are described by cooperative and conflicting degrees between criteria. Then, a measure formula for the symmetric substitutivity between criteria is proposed, and the cooperative degree between criteria is taken as the approximation of the symmetric substitutivity between criteria. With the help of the symmetric substitutivity between criteria, the software trustworthiness measurement model obtained by axiomatic approaches is applied to aggregate the degree to which each optional software product meets each objective. Finally, the candidate software products are sorted according to the trustworthiness aggregation results, and the optimal product is obtained from the alternative software products on the basis of the sorting results. The theoretical rationality of the measurement model is validated by proving that it satisfies the desirable properties of software trustworthiness measures, and its effectiveness is demonstrated through a case study.

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Section: Introductionmentioning

confidence: 71%

Section: Related Workmentioning

confidence: 99%

Section: Definition 3 (Symmetric Substitutivity Between Criteria)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Novel Software Trustworthiness Evaluation Strategy via Relationships between Criteria

et al. 2022

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A survey of the state‐of‐the‐art approaches for evaluating trust in software ecosystems

Hou,

Jansen

2024

J Software Evolu Process

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Third‐party software has streamlined the software engineering process, allowed software engineers to focus on developing more advanced components, and reduced time and cost. This shift has led to software development strategies moving from competition to collaboration, resulting in the concept of software ecosystems, in which internal and external actors work together on shared platforms and place their trust in the ecosystem. However, the increase in shared components has also created challenges, especially in security, as the large dependency trees significantly enlarge a system's attack surface. The situation is made worse by the lack of effective ways to measure and ensure the trustworthiness of these components. In this article, we explore current approaches used to evaluate trust in software ecosystems, focusing on analyzing the specific techniques utilized, the primary factors in trust evaluation, the diverse formats for result presentation, as well as the software ecosystem entities considered in the approaches. Our goal is to provide the status of current trust evaluation approaches, including their limitations. We identify key challenges, including the limited coverage of software ecosystem entities; the objectivity, universality, and environmental impacts of the evaluation approaches; the risk assessment for the evaluation approaches; and the security attacks posed by trust evaluation in these approaches.

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A Novel Trustworthiness Measurement Method for Software System Based on Fuzzy Set

Nie

Chen

Tao

2022

Communications in Computer and Information Science

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Theoretical and empirical validation of software trustworthiness measure based on the decomposition of attributes

Cited by 6 publications

References 30 publications

A Novel Software Trustworthiness Evaluation Strategy via Relationships between Criteria

A Novel Software Trustworthiness Evaluation Strategy via Relationships between Criteria

A survey of the state‐of‐the‐art approaches for evaluating trust in software ecosystems

A Novel Trustworthiness Measurement Method for Software System Based on Fuzzy Set

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