Conference paper Open Access
Prasetya, Wishnu;
Dastani, Mehdi
Testing modern computer games is notoriously hard. Highly dynamic behavior, inherent non-determinism, and fine grained inter activity blow up their state space; too large for traditional auto- mated testing techniques. An agent-based testing approach offers an alternative as agents’ goal driven planning, adaptivity, and reasoning ability can provide an extra edge. This paper provides a summary of aplib, a Java library for programming intelligent test agents, featuring tactical programming as an abstract way to exert control on agents’ underlying reasoning based behavior. Aplib is implemented in such a way to provide the fluency of a Domain Specific Language (DSL) while still staying in Java, and hence aplib programmers will keep all the advantages that Java programmers get: rich language features and a whole array of development tools.
Name | Size | |
---|---|---|
aplib_AAMAS_2020_paper.pdf
md5:74ac795e72072d8e0a4605ca91aaafdb |
2.8 MB | Download |
All versions | This version | |
---|---|---|
Views | 80 | 80 |
Downloads | 35 | 35 |
Data volume | 98.5 MB | 98.5 MB |
Unique views | 69 | 69 |
Unique downloads | 33 | 33 |