We present an automated classifier based on Convolutional Neural Networks (CNNs). We hypothesise that many false positive alarms can be classified by ...

We present an automated classifier based on Convolutional Neural Networks (CNNs). We hypothesise that many false positive alarms can be classified by.

An automated classifier based on Convolutional Neural Networks is presented, hypothesising that many false positive alarms can be classified by identifying ...

May 23, 2024 · Seongmin et al. [11] presented an automated classifier based on Convolutional Neural Networks (CNNs) for filtering false positive reports. They ...

Classifying False Positive Static Checker Alarms In Continuous Integration Using Convolutional Neural Networks. SL Lee, S Hong, J Yi, T Kim, CJ Kim, S Yoo.

Classifying False Positive Static Checker Alarms in Continuous Integration Using Convolutional Neural Networks, 2019, IEEE Conference on Software Testing ...

Kim, C.-J. Kim, and S. Yoo, “Classifying false positive static checker alarms in continuous integration using convolutional neural networks,” in 2019 12th IEEE ...

Static analysis (SA) tools can generate useful static warnings to reveal the problematic code snippets in a software system without dynamically executing ...

Yoo, “Classifying false positive static checker alarms in continuous integration using convolutional neural networks,” in 2019 12th IEEE Conference on.

Oct 7, 2021 · Yoo, “Classifying false positive static checker alarms in continuous integration using convolutional neural networks,” in 2019 12th IEEE ...