Preference-Based Many-Objective Evolutionary Testing Generates Harder Test Cases for Autonomous Agents.
Sabrine KalboussiSlim BechikhMarouane KessentiniLamjed Ben SaidPublished in: SSBSE (2013)
Keyphrases
- autonomous agents
- test cases
- test case selection
- software testing
- multi agent systems
- test generation
- regression testing
- test data
- model based testing
- test sequences
- dynamic environments
- test suite
- test case generation
- multiagent systems
- testing process
- number of test cases
- test set
- test suite reduction
- incomplete information
- black box
- multi agent
- mental states
- set of test cases
- genetic algorithm
- open systems
- test data generation
- training data
- agent negotiation
- object oriented
- evolutionary computation
- heterogeneous agents
- integration testing
- unit testing
- multi agent environments
- feature space
- code coverage
- evolutionary algorithm
- error rate
- petri net