An automated framework for supply chain software trustworthiness assessment and its implementation

In order to solve the problem of low accuracy of traditional supply chain software credibility assessment, an automated framework for supply chain software credibility assessment and its implementation are proposed. The method uses gradient fuzzy number to calculate the weight of each credibility index. Firstly, the positive and negative ideal values of the software credibility indicators are calculated, and then the gray correlation analysis method is used to calculate the gray correlation of the credibility indicators' metric values to the positive and negative ideal values, and then the software credibility assessment values are calculated sequentially. In which the weight values of credible assessment indicators are processed by fuzzy trapezoidal number. The experimental results show that: Since, theβ2=0.935, indicating that the softwareA3. The credibility of the proposed method is the highest, and the accuracy of the evaluation results is very high. Conclusion: The proposed method is effective in evaluating the credibility of software, and the results have high accuracy.