JOURNAL OF COMPUTERS (JCP)
ISSN : 1796-203X
Volume : 3    Issue : 6    Date : June 2008

IntelligenTester –Test Sequence Optimization Framework using Multi-Agents
D. Jeya Mala and V. Mohan
Page(s): 39-46
Full Text:
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Abstract
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)