Optimize the Multi-Dimensional Test Coverage Based on Multiple Attribute Decision Making and Cross Entropy Method
Yi Zhang, Gang Wang, Ping Rong Lin · Applied Mechanics and Materials · 2013
With the scale and complexity of software increasing, people's awareness of software quality assurance has gradually strengthened. How to carry out the test, test scheme optimization selection and how to improve the testing efficiency become the reality problems in software engineering. Using the test coverage of the multidimensional metric, the effectiveness of comprehensive test coverage, test coverage rate of satisfaction and test efficiency as the optimization test scheme selection, use of multiple attribute decision making lifting scheme selection algorithm to measure the optimal test program, ameliorate the severity of the past subjective experience dependent, so as to provide guidance for reasonable, effective and scientific test. The optimization of comprehensive test coverage scheme is applied to the Markov model of software testing; software testing with the average cost minimization as objective, using the cross entropy method the optimal coverage testing section to optimize the test process.