IntelligenTester - Test Sequence Optimization Framework using Multi-Agents

Our paper focuses on the generation of optimal test sequences and test cases using Intelligent Agents for highly reliable systems. Test sequences support test case generation for these types of systems. Our system is modeled through UML state charts. Conventional test generation techniques do not worry about optimization and dynamic nature of such systems. In the case of highly reliable Software Testing, we can implement agents with sophisticated intellectual capabilities such as the ability to reason, learn, or plan. In our proposed approach, we developed agents namely Intelligent Search Agent (ISA) for optimal test sequence generation and Intelligent Test Case Optimization Agent (ITOA) based on HGA for optimal test case generation. Finally, we compared our results against existing algorithms. We registered our tool “IntelligenTester” under Java Research License (JRL) under the URL name https://intelligentester.dev.java.net. Index Terms – Intelligent Agents, Software Testing, UML (Unified Mark-up Language), HGA (Hybrid Genetic Algorithm)