On the public citation graph

Software trustworthiness evaluation model based on a behaviour trajectory matrix

https://doi.org/10.1016/j.infsof.2019.106233
0 signed · 28 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/col.5080170616openalex-snapshot
Computer Vision and Pattern Recognition: CVPR 92
inferredcites →https://doi.org/10.1007/978-3-7908-2604-3_16openalex-snapshot
Large-Scale Machine Learning with Stochastic Gradient Descent
inferredcites →https://doi.org/10.1109/access.2019.2892518openalex-snapshot
Updating Model of Software Component Trustworthiness Based on Users Feedback
inferredcites →https://doi.org/10.1109/cvpr.2014.81openalex-snapshot
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr35066.2017openalex-snapshot
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
inferredcites →https://doi.org/10.1109/issre.2015.7381806openalex-snapshot
Towards comprehensive software reliability evaluation in open source software
inferredcites →https://doi.org/10.1145/1557019openalex-snapshot
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.14257/ijhit.2015.8.1.04openalex-snapshot
The Software Trustworthiness Evaluation Model Based on Subjective Logic
inferredcites →https://doi.org/10.3390/math7030237openalex-snapshot
An Approach of Trustworthy Measurement Allocation Based on Sub-Attributes of Software
inferredcites →https://doi.org/10.3788/aos201636.0428001openalex-snapshot
High Spatial Resolution Remote Sensing Image Classification Based on Deep Learning
inferredcites →https://doi.org/10.4304/jsw.7.3.532-543openalex-snapshot
Developing an Evaluation Approach for Software Trustworthiness Using Combination Weights and TOPSIS
inferredcites →https://doi.org/10.48550/arxiv.1207.0580openalex-snapshot
Improving neural networks by preventing co-adaptation of feature detectors
inferredcites →https://doi.org/10.48550/arxiv.1804.01653openalex-snapshot
Review of Deep Learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/smr.2695openalex-snapshot
A survey of the state‐of‐the‐art approaches for evaluating trust in software ecosystems
inferred← citeshttps://doi.org/10.1007/978-3-032-11539-3_5openalex-snapshot
An Empirical Study of Large Language Models as Experts in Software Trustworthiness Assessment
inferred← citeshttps://doi.org/10.1007/s00500-025-10559-2openalex-snapshot
A golden section-based group decision-making approach to software trustworthiness evaluation
inferred← citeshttps://doi.org/10.1007/s12204-022-2496-4openalex-snapshot
Analysis of Software Trustworthiness Based on FAHP-CRITIC Method
inferred← citeshttps://doi.org/10.1016/j.asoc.2023.111205openalex-snapshot
A software trustworthiness evaluation methodology for cloud services with picture fuzzy information
inferred← citeshttps://doi.org/10.1016/j.infsof.2024.107606openalex-snapshot
Software aging oriented trustworthiness measurement based on weighted Boltzmann entropy
inferred← citeshttps://doi.org/10.1080/09540091.2022.2061424openalex-snapshot
Theoretical and empirical validation of software trustworthiness measure based on the decomposition of attributes
inferred← citeshttps://doi.org/10.1109/icaccs51430.2021.9442052openalex-snapshot
Review on Trustworthy Analysis in binary code
inferred← citeshttps://doi.org/10.1109/iccvit63928.2024.10872559openalex-snapshot
The Trustworthiness Measurement Model of Component based on Spherical Fuzzy Sets
inferred← citeshttps://doi.org/10.1109/imcec66174.2025.11332079openalex-snapshot
A Model for Gauging Software Trustworthiness
inferred← citeshttps://doi.org/10.1109/qrs-c55045.2021.00076openalex-snapshot
The Trustworthiness Measurement Model of Component-based Software Based on the Subjective and Objective Weight Allocation Method
inferred← citeshttps://doi.org/10.1155/2021/8814844openalex-snapshot
Risk Measurement Method of Collusion Privilege Escalation Attacks for Android Apps Based on Feature Weight and Behavior Determination
inferred← citeshttps://doi.org/10.3390/sym14112458openalex-snapshot
A Novel Software Trustworthiness Evaluation Strategy via Relationships between Criteria
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.