Applying Deep Learning For Imitating Adaptive Agent Behavior in Statistical Software Testing.
André ReichstallerBenedikt EberhardingerHella SeebachAlexander KnappWolfgang ReifPublished in: Softwaretechnik-Trends (2018)
Keyphrases
- deep learning
- software testing
- agent behavior
- test cases
- software development
- unsupervised learning
- agent based simulation
- software systems
- machine learning
- multi agent systems
- software engineering
- human behavior
- testing process
- weakly supervised
- mental models
- multi agent
- agent architecture
- object detection
- test suite
- reinforcement learning
- computer vision
- intelligent agents
- natural images
- simulation model
- intelligent systems
- active learning
- simulation models
- bayesian networks
- high level