Anomalies Detection in Software by Conceptual Learning From Normal Executions
<p>Could we detect anomalies during the run-time of a program by learning from the analysis of its previous traces for normally completed executions? In this paper we create a featured data set from program traces at run time, either during its regular life, or during its testing phase. This d...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , , |
| Published: |
2020
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|