Software Trustworthiness Evaluation using Structural Equation Modeling

Software trustworthiness evaluation results can provide guidance for existing software development. Therefore, it is of great significance to study software trustworthiness evaluation. Weights and the relationship of trustworthy attributes have a huge effect on the results of software trustworthines...

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Veröffentlicht in:International journal of performability engineering 2019, Vol.15 (10), p.2628
Hauptverfasser: Rumei, Deng, Yixiang, Chen, Hengyang, Wu, Hongwei, Tao
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container_title International journal of performability engineering
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creator Rumei, Deng
Yixiang, Chen
Hengyang, Wu
Hongwei, Tao
description Software trustworthiness evaluation results can provide guidance for existing software development. Therefore, it is of great significance to study software trustworthiness evaluation. Weights and the relationship of trustworthy attributes have a huge effect on the results of software trustworthiness evaluation. However, few studies have considered weights and the quantitative relationship among trustworthy attributes at the same time. Structural equation modeling (SEM) provides a more scientific and reasonable method to obtain weights, where the objectification of subjective weights is guaranteed. In this paper, we propose a SEM-based method to evaluate software trustworthiness. Firstly, we establish the trustworthy evaluation indicator system for software. Based on the survey data, we construct the SEM for software trustworthiness evaluation to obtain the weights of trustworthy attributes and the relationship among them. Lastly, we apply the trustworthy measurement model to calculate the trustworthiness value of software to be surveyed. These trustworthiness values demonstrate the reasonability of our method.
doi_str_mv 10.23940/ijpe.19.10.p8.26282635
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subjects Evaluation
Mathematical models
Measurement
Modelling
Multivariate statistical analysis
Software
Software development
Structural equation modeling
Trustworthiness
title Software Trustworthiness Evaluation using Structural Equation Modeling
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