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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
Vulnerability prediction
biblio
ComPy-Learn: A toolbox for exploring machine learning representations for compilers
Submitted by aekwall on Mon, 03/15/2021 - 12:07pm
compilers
program compilers
Clang
LLVM
compiler security
empirical evaluation
Clang compiler
Code Representations
compiler heuristics
Compositionality
ComPy-Learn
developer productivity
graph representations
LLVM compiler backend
program code
software engineering tools
software performance
syntax-level language information
tools
Task Analysis
Program processors
learning (artificial intelligence)
Resiliency
pubcrawl
machine learning
Metrics
optimization
Scalability
Training
software engineering
public domain software
Vulnerability prediction
program diagnostics
Predictive models
Pipelines
biblio
Using Software Metrics for Predicting Vulnerable Code-Components: A Study on Java and Python Open Source Projects
Submitted by aekwall on Mon, 11/02/2020 - 2:46pm
Python vulnerable function prediction
vulnerability predictors
vulnerability prediction performance
Vulnerability prediction
testing
software security
software reliability
software projects
software metrics-based vulnerability prediction
software metrics
security vulnerabilities
security of data
security
safety-critical software
code component
Python open source projects
Python
public domain software
pubcrawl
Metrics
metrics testing
Measurement
machine learning
learning (artificial intelligence)
Java vulnerable functions
Java projects
Java
code-component
biblio
Predicting Cascading Failures in Power Grids using Machine Learning Algorithms
Submitted by grigby1 on Fri, 04/24/2020 - 4:38pm
MAT-POWER
cascading failure data set
cascading failure prediction
cascading failure simulator framework
Cascading Failures
data-driven technique
edge betweenness centrality
linear regression
load shedding
massive blackouts
cascading failure data
Monte-Carlo simulation
power grid operating parameters
power-grid engineers
real-world power grids
regression analysis
topological parameters
transmission line failures
Vulnerability prediction
Power Grid Vulnerability Assessment
power grids
machine learning
machine learning algorithms
pubcrawl
resilience
Resiliency
power engineering computing
composability
Load modeling
pattern classification
learning (artificial intelligence)
Metrics
failure analysis
power system reliability
power system faults
Power system protection
power transmission lines
average shortest distance
cascade data generation
biblio
A Proposed Approach to Build an Automated Software Security Assessment Framework using Mined Patterns and Metrics
Submitted by aekwall on Mon, 03/02/2020 - 12:30pm
security-specific properties
mined patterns
Patterns
pubcrawl
reliable software
Resiliency
Scalability
secure code
security
security of data
security-centric
Metrics
Software
software metrics
software security
software security level
Software Vulnerability
text analysis
tools
Ubiquitous Computing Security
Vulnerability prediction
Data mining
Security Metrics
automated framework
Automated Secure Software Engineering
automated software security assessment framework
building security-specific metrics
coding theory
Complexity theory
composability
current software metrics
Computing Theory
encoding
estimated security level
existing nanopatterns
generic patterns
graph theory
Human Factors
Java
Java method-level traceable patterns
machine learning
biblio
Towards Data-driven Vulnerability Prediction for Requirements
Submitted by aekwall on Mon, 03/04/2019 - 10:50am
Resiliency
pubcrawl
composability
information retrieval
software requirements
software security
Software Vulnerability
Traceability
Vulnerability prediction
Automated Secure Software Engineering
biblio
Predicting Vulnerable Software Components Through Deep Neural Network
Submitted by grigby1 on Mon, 11/19/2018 - 12:20pm
android
deep learning
deep video
Metrics
neural network
pubcrawl
resilience
Resiliency
Scalability
Vulnerability prediction
biblio
Vulnerability prediction through self-learning model
Submitted by K_Hooper on Wed, 04/04/2018 - 9:58am
self-learning model
Vulnerability prediction
Vulnerability impact
vulnerability detection
Training
Software Vulnerability
software reliability
software fault tolerance
software fault
software development phase
software defect
Software algorithms
Software
Activation Function
Resiliency
pubcrawl
Predictive models
neural nets
Metrics
Mathematical model
learning (artificial intelligence)
Human behavior
Compositionality
Artificial Neural Networks
artificial neural network
biblio
Evaluating and Comparing Complexity, Coupling and a New Proposed Set of Coupling Metrics in Cross-project Vulnerability Prediction
Submitted by grigby1 on Fri, 05/19/2017 - 1:48pm
acoustic coupling
complexity metrics
coupling metrics
cross-project
Metrics
pubcrawl
Security Metrics
software security
Vulnerability prediction
biblio
Web Application Vulnerability Prediction using Hybrid Program Analysis and Machine Learning
Submitted by BrandonB on Tue, 05/05/2015 - 10:55am
Data models
empirical study
HTML
input validation and sanitization
program analysis
security
security measures
Semisupervised learning
Servers
Software
Training
Vulnerability prediction
