Exploring Dependency Related Build Breakages In The NPM Ecosystem
CI/CD pipelines, specifically GitHub Actions, were parsed to identify breaking changes,
while tools like nektos/act and docker-compose were used to simulate the build process locally.
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This project assesses the effectiveness of code review for Ethereum smart contracts
- across major projects like Uniswap and Aave. Using Git
- for version control and Slither for static analysis, vulnerabilities
+ across major projects like Uniswap and Aave.
+ Whihch represent some of the most widely used protocols in the blockchain ecosystem,
+ where security vulnerabilities can lead to significant financial losses.
+ Using Git for version control and Slither for static analysis, vulnerabilities
such as reentrancy, unchecked transfers, and zero-address issues were identified.
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including Random Forests, Logistic Regression, and Deep Learning,
The survey explores key factors influencing model performance, such as code complexity, commit frequency,
and noise in the data. It also examines statistical methods like ANOVA and Principal Component Analysis (PCA).
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Exploring the Prevalence of Social Biases In State Of The Art large language
By analyzing the behavior of these models with prompts designed to evoke toxic or
biased responses, we utilized tools like the Perspective API to assess generated content across
attributes such as toxicity, identity attack, and profanity.
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