ML4AVD research remains locked into binary function-level classification of C/C++ vulnerabilities because twelve pain points in the pipeline reinforce each other through feedback loops.
A Survey of Learning-based Automated Program Repair
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Coding agents exhibit action bias by proposing undesirable changes on already-fixed issues 35-65% of the time, and explicit reproduction instructions only partially mitigate this while creating new abstention errors.
Empirical evaluation of augmenting statistical fault localization with execution features extracted by EFDD and mapped via random-forest importances on Tests4Py subjects.
citing papers explorer
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Direction for Detection: A Survey of Automated Vulnerability Detection and all of its Pain Points
ML4AVD research remains locked into binary function-level classification of C/C++ vulnerabilities because twelve pain points in the pipeline reinforce each other through feedback loops.
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Coding Agents Don't Know When to Act
Coding agents exhibit action bias by proposing undesirable changes on already-fixed issues 35-65% of the time, and explicit reproduction instructions only partially mitigate this while creating new abstention errors.
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How do Execution Features Improve Statistical Fault Localization? An Empirical Study
Empirical evaluation of augmenting statistical fault localization with execution features extracted by EFDD and mapped via random-forest importances on Tests4Py subjects.