Software trustworthiness evaluation model based on a behaviour trajectory matrix

2020 ◽  
Vol 119 ◽  
pp. 106233
Author(s):  
Junfeng Tian ◽  
Yuhui Guo
Keyword(s):  
Evaluation Model ◽  
Model Based ◽  
Software Trustworthiness

scholarly journals Research on software trustworthiness measurement evaluation model based on data driven

2021 ◽  
Vol 336 ◽  
pp. 08014
Author(s):  
Zhaosheng Xu
Keyword(s):  
Evaluation Model ◽  
Relay Node ◽  
Data Driven ◽  
Trust Evaluation ◽  
Model Based ◽  
Trust Calculation ◽  
Monitoring Module ◽  
The Relationship ◽  
Software Trustworthiness

in this paper, we construct a data-driven trust evaluation model based on perceptual source. The model takes the monitoring module as the evaluation unit, and the relay node completes the trust evaluation of the sensing node in its monitoring module. The direct trust calculation is realized by the relationship between the sensing node's own data, and the recommended trust is calculated by using the relationship between the neighbor nodes in the monitoring module. Combined with the historical trust, the comprehensive trust of the sensing node is output. In this paper, the credibility of existing database driven cognitive software is summarized, and then the key technologies of reliability evaluation and classification of database driven cognitive software are analyzed.

Research on Software Trustworthiness Level Evaluating Model Based on Layered Idea and its Application

2011 ◽  
Vol 267 ◽  
pp. 277-282
Author(s):  
Jin Zhang ◽  
Yong Quan Yan ◽  
Yun Chuan Sun ◽  
Guo Xing Zhao ◽  
Jun Fei Liu
Keyword(s):  
Quantitative Method ◽  
Evaluation Model ◽  
Model Performance ◽  
Software System ◽  
Analytic Hierarchy ◽  
Individual Layer ◽  
Model Based ◽  
Proposed Model ◽  
Hierarchy Process ◽  
Software Trustworthiness

In order to evaluate software trustworthy level in quantitative method, it is the key how to effectively integrate numerous of evidence items to analyze software trustworthiness. Combing with analytic hierarchy process (AHP), a software trustworthy level evaluation model based on layered idea is proposed. The model is applied to evaluate the trustworthy level of a kind of software. Based on improved trustworthy software triangle model, a single evidence item is analyzed to decide that it contributes only to one single trustworthy attribute or to multiple trustworthy attributes. Then, all evidences are grouped to different evidence groups according to the evidences’ different contribution to different trustworthy attributions. After that, the evidence group is used as an individual layer between evidence level and trustworthy attribute level. Finally, the quantitive evaluation to software trustworthy level is done from the evidence layer in the bottom to the evaluation level in the top. AHP is used to set the weight. The proposed evaluation model balances the complexity of theory and convenience of operation effectively. The layered AHP is easy to realize in the model. In order to analyze the model performance, a kind of software system is used as object in the simulating experiments. Experimental results show that the proposed model can evaluate the software system effectively.

Load-balancing evaluation model based on pre-defined variability

2009 ◽  
Vol 29 (10) ◽  
pp. 2849-2851
Author(s):  
Li-lun ZHANG ◽  
Jian-ping WU ◽  
Jun-qiang SONG
Keyword(s):  
Load Balancing ◽  
Evaluation Model ◽  
Model Based

Recognition of teaching method effects based on grid model simplification and artificial intelligence

2020 ◽  
pp. 1-11
Author(s):  
Guo Yunfeng ◽  
Li Jing
Keyword(s):  
Artificial Intelligence ◽  
Teaching Method ◽  
Evaluation Model ◽  
Geometric Constraints ◽  
Sorting Algorithm ◽  
Grid Model ◽  
Model Based ◽  
Refinement Method ◽  
Method Effects ◽  
Structure Simplification

In order to improve the effect of the teaching method evaluation model, based on the grid model, this paper constructs an artificial intelligence model based on the grid model. Moreover, this paper proposes a hexahedral grid structure simplification method based on weighted sorting, which comprehensively sorts the elimination order of candidate base complexes in the grid with three sets of sorting items of width, deformation and price improvement. At the same time, for the elimination order of basic complex strings, this paper also proposes a corresponding priority sorting algorithm. In addition, this paper proposes a smoothing regularization method based on the local parameterization method of the improved SLIM algorithm, which uses the regularized unit as the reference unit in the local mapping in the SLIM algorithm. Furthermore, this paper proposes an adaptive refinement method that maintains the uniformity of the grid and reduces the surface error, which can better slow down the occurrence of geometric constraints caused by insufficient number of elements in the process of grid simplification. Finally, this paper designs experiments to study the performance of the model. The research results show that the model constructed in this paper is effective.

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