Analysis of Software Trustworthiness Based on FAHP-CRITIC Method

Gao, Xiaotong; Ma, Yanfang; Zhou, Wei

doi:10.1007/s12204-022-2496-4

Cited by 4 publications

(6 citation statements)

References 20 publications

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“…Compared to the method introduced in [30], to obtain the weight of component, the volatility of the component attribute should be calculated according to the standard deviation of attributes. Compared to the method in [31], to compute the weight of the component, the attribute value and defect data should be collected.…”

Section: Calculating the Comprehensive Weights γ Of Componentsmentioning

confidence: 99%

“…The software systems include many attributes, and the conflict often happened between these attributes. To allocate weights to attributes more reasonably, Gao et al [30] proposed a novel weight allocation method for software attributes by combining the FAHP method with the CRITIC method. This approach considers the conflict between attributes by using the CRITIC method.…”

Section: Introductionmentioning

confidence: 99%

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The Weight Allocation Method of Component Based on the Mutual Influence

Hu,

Ma,

Gao

2023

Mathematical Problems in Engineering

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Components play a pivotal role in component-based software, with certain components being crucial in realizing the software’s overall functionality. The importance of component is usually characterized using the weight value of component. How to get the weight value is a problem that needs to be studied. Traditionally, the weight value can be denoted by an expert’s evaluation. However, the importance of components can vary depending on their interactions within different combination structures. Therefore, it becomes necessary to consider the mutual influence resulting from component interactions when determining component weights, in addition to expert evaluations. In this study, we first establish an influence value model that captures the interactions between components within various combinations. Subsequently, we propose a comprehensive weight allocation method for components by integrating expert evaluations with the influence values obtained from the component interactions, using an evidence-based information fusion approach. Finally, we validate the effectiveness of our method by implementing a scenic spot ticket purchase system. This approach is more reasonable than the single method and can provide software developers with a more comprehensive analysis of component importance, enabling them to make informed decisions.

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Section: Calculating the Comprehensive Weights γ Of Componentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Weight Allocation Method of Component Based on the Mutual Influence

Hu,

Ma,

Gao

2023

Mathematical Problems in Engineering

Self Cite

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“…In order to perform the above tasks successfully, it is necessary to design a reasonable and accurate controller for an AUV to achieve trajectory tracking, i.e., control the AUV to reach and follow the time-varying parametric trajectory. However, the trajectory tracking control of the AUV poses a great challenge to controller designers, because the dynamic model of the AUV has fixed multivariable, high-strength nonlinearity and strong coupling and uncertainty [5]. At the same time, due to the complex marine environment, the AUV is subject to time-varying external interference that is difficult to measure or estimate while moving, which also makes the trajectory tracking control of AUVs a challenging task.…”

Section: Introductionmentioning

confidence: 99%

Dual-Loop Integral Sliding Mode Control-Based Path Tracking with Reaction Torque for Autonomous Underwater Vehicle

Ju,

Cai,

Liu

et al. 2024

JMSE

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Path tracking control is an important method for a Six-Degree-Of-Freedom Autonomous Underwater Vehicle to perform specific underwater tasks. Therefore, this paper investigates a dual-loop integral sliding mode control (DLISMC)-based tracking controller for an AUV with model uncertainties and external disturbances, and introduces a new reaction torque model for static compensation in order to improve the attitude control capability for AUVs when performing path tracking. In addition, the stability of tracking control law based on DLISMC is demonstrated using the Lyapunov function. Finally, numerical simulations are carried out on MATLAB 2016/Simulink and compared with the Proportion–Integral–Differential (PID) control commonly used in industry as well as the dual-loop Proportion–Integral–Differential (DLPID). Simulation results show that the DLISMC has a smaller tracking error, faster convergence speed, and more robustness against external disturbances and reaction torque.

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“…Gao et al (6) introduced CRITIC, which is used to determine the criterion weight. The technique considers both the impact and drawbacks while framing the structure of the MCDM.…”

Section: Introductionmentioning

confidence: 99%

“…Gao et al (6) examined a few pharmaceutical industries using the CRITIC method to study the performance of the company based on fixed common indices. The CRITIC method was used to plan an optimization model for water management in India (7) .…”

Section: Introductionmentioning

confidence: 99%

An Evaluation of Covariance and Correlation Analysis in Entropy Method

Thirumalai,

Uthra,

Anandan

2023

IJST

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Objectives:The main aim of this research is to obtain the criterion weight in Multi-Criteria Decision Making (MCDM) with conflicting criteria, as the relevance and impact of the criterion weight alters the outcome of any decision-making. Methods: This study proposes a modification to the existing Entropy technique using principal component analysis, which is found to be suitable for all dayto-day real-life problems. Findings: A comparative study is done between covariance and correlation analysis to validate the accuracy of the proposed technique. The proposed modification is illustrated with a numerical example. Novelty: The inclusion of the concept of covariance analysis in the principal component analysis is a new approach to the determination of the criterion weight in MCDM.

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Analysis of Software Trustworthiness Based on FAHP-CRITIC Method

Cited by 4 publications

References 20 publications

The Weight Allocation Method of Component Based on the Mutual Influence

The Weight Allocation Method of Component Based on the Mutual Influence

Dual-Loop Integral Sliding Mode Control-Based Path Tracking with Reaction Torque for Autonomous Underwater Vehicle

An Evaluation of Covariance and Correlation Analysis in Entropy Method

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