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09/15/2023
Silent Vulnerability-fixing Commit Identification Based on Graph Neural Networks
The growing dependence of software projects on external libraries has ge...
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09/05/2023
VFFINDER: A Graph-based Approach for Automated Silent Vulnerability-Fix Identification
The increasing reliance of software projects on third-party libraries ha...
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06/26/2023
Can An Old Fashioned Feature Extraction and A Light-weight Model Improve Vulnerability Type Identification Performance?
Recent advances in automated vulnerability detection have achieved poten...
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06/26/2023
Context-Encoded Code Change Representation for Automated Commit Message Generation
Changes in source code are an inevitable part of software development. T...
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06/11/2023
ARIST: An Effective API Argument Recommendation Approach
Learning and remembering to use APIs are difficult. Several techniques h...
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04/17/2023
Code-centric Learning-based Just-In-Time Vulnerability Detection
Attacks against computer systems exploiting software vulnerabilities can...
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09/25/2022
Using Multiple Code Representations to Prioritize Static Analysis Warnings
In order to ensure the quality of software and prevent attacks from hack...
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10/07/2021
Ranking Warnings of Static Analysis Tools Using Representation Learning
Static analysis tools are frequently used to detect potential vulnerabil...
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09/21/2021
A Variability Fault Localization Approach for Software Product Lines
Software fault localization is one of the most expensive, tedious, and t...
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07/10/2021