Using Deep Reinforcement Learning for Exploratory Performance Testing of Software Systems With Multi-Dimensional Input Spaces.
Tanwir AhmadAdnan AshrafDragos TruscanAndi DomiIvan PorresPublished in: IEEE Access (2020)
Keyphrases
- software systems
- multi dimensional
- reinforcement learning
- software testing
- complex software systems
- software engineering
- source code
- software development
- code coverage
- software components
- metamodel
- software intensive systems
- software architecture
- software maintenance
- functional requirements
- software design
- design patterns
- artificial intelligence
- software quality
- software engineers
- component based software
- software developers
- software metrics
- multi agent systems
- object oriented systems
- software projects
- product lines
- high dimensional
- maintenance activities
- decision making