Abstract
The problem of testing from an extended finite state machine (EFSM) can be expressed in terms of finding suitable paths through the EFSM and then deriving test data to follow the paths. A chosen path may be infeasible and so it is desirable to have methods that can direct the search for appropriate paths through the EFSM towards those that are likely to be feasible. However, generating feasible transition paths (FTPs) for model based testing is a challenging task and is an open research problem. This paper introduces a novel fitness metric that analyzes data flow dependence among the actions and conditions of the transitions of a path in order to estimate its feasibility. The proposed fitness metric is evaluated by being used in a genetic algorithm to guide the search for FTPs.
Original language | English |
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Title of host publication | 2009 International Conference on Software Testing Verification and Validation |
Pages | 230-239 |
Number of pages | 10 |
ISBN (Electronic) | 978-0-7695-3601-9 |
DOIs | |
Publication status | Published - 17 Apr 2009 |
Event | 2009 International Conference on Software Testing Verification and Validation - Denver, United States Duration: 1 Apr 2009 → 4 Apr 2009 |
Conference
Conference | 2009 International Conference on Software Testing Verification and Validation |
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Country/Territory | United States |
City | Denver |
Period | 1/04/09 → 4/04/09 |
Keywords
- Automata
- Software testing
- System testing
- Automatic testing
- Information systems
- Data analysis
- Genetic algorithms
- Control system synthesis
- Automatic control
- Hardware