Title
Ontology-based test generation for multiagent systems
Abstract
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
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. Nguyen122414.19
Anna Perini2116583.51
Paolo Tonella33559224.88