Structured Integration Test Suite Generation Process for Multi-Agent System

Abstract

Problem statement: In recent years, Agent-Oriented Software Engineering (AOSE) methodologies are proposed to develop complex distributed systems based upon the agent paradigm. The implementation for such systems has usually the form of Multi-Agent Systems (MAS). Testing of MAS is a challenging task because these systems are often programmed to be autonomous and deliberative and they operate in an open world, which requires context awareness. Approach: We introduce a novel approach for goal-oriented software integration testing. It specifies an integration testing process that complements the goal oriented methodology Tropos and strengthens the mutual relationship between goal analysis and testing. Results: The derived test suites from the system goals can be used to observe emergent properties resulting from agent interactions and make sure that a group of agents and contextual resources work correctly together. Conclusion: This approach defines a structured and comprehensive integration test suite derivation process for engineering software agents by providing a systematic way of deriving test cases from goal analysis.