How can we enhance dynamic analysis techniques in software testing?

How can we enhance dynamic analysis techniques in software testing?

Improving dynamic analysis techniques can involve several strategies, such as integrating machine learning for better anomaly detection.

What specific machine learning methods can be applied?

You can use supervised learning for classification tasks, or unsupervised learning for clustering similar behaviors in the software.

Are there any tools that support these methods?

Yes, tools like TensorFlow and Scikit-learn can be integrated into your testing framework to apply these machine learning techniques.

What are the challenges in implementing these techniques?

Challenges include data quality, the need for extensive training data, and the complexity of integrating ML models into existing workflows.