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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.
automated game testing, AI for automated testing, intelligent agents for testing, agents tactical programming
automated game testing, AI for automated testing, intelligent agents for testing, agents tactical programming
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