Abstract | ||
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This paper investigates software agents testing, and in particular how to automate test generation. We propose a novel approach, which takes advantage of agent interaction ontologies that define content semantic of agent interactions to: (i) generate test inputs; (ii) guide the exploration of the input space during generation; and, (iii) verify messages exchanged among agents with respect to the defined interaction ontology. We integrated the proposed approach into a testing framework, called eCAT, which can generate and evolve test cases automatically, and run them continuously. |
Year | DOI | Venue |
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2008 | 10.1145/1402821.1402860 | AAMAS (3) |
Field | DocType | Citations |
Ontology (information science),Ontology,Process ontology,Computer science,Software agent,Multi-agent system,Test case,Artificial intelligence | Conference | 17 |
PageRank | References | Authors |
0.92 | 6 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Cu D. Nguyen | 1 | 224 | 14.19 |
Anna Perini | 2 | 1165 | 83.51 |
Paolo Tonella | 3 | 3559 | 224.88 |