Software Test Data Generation using Ant Colony Optimization

State-based testing is frequently used in software testing. Test data generation is one of the key issues in software testing. A properly generated test suite may not only locate the errors in a software system, but also help in reducing the high cost associated with software testing. It is often desired that test data in the form of test sequences within a test suite can be automatically generated to achieve required test coverage. This paper proposes an Ant Colony Optimization approach to test data generation for the state-based software testing. Keywords-- Software testing, ant colony optimization, UML.

• Type: Conference
• Year: 2004
• Where: IJIT
• Authors: Huaizhong Li, Chiou Peng Lam
• Keywords: Artificial Intelligence, IJIT 2004, Software Testing, Test Data, Test Data Generation