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Generating test data that can expose the faults of the program is an important issue in software testing. Although previous methods of covering path can generate test data to traverse target path, the test data generated by these methods are difficult in detecting some low-probabilistic faults that lie on the covered paths. We present a method of generating test data for covering multiple paths to...
Software testing is an important step during software development. By doing automation of software testing we can increase the robustness of software and decrease the cost of development. The automation of test data generation is done using genetic algorithm. GA analyses the fitness based on the path coverage. This paper presents a novel method for test data generation with multiple paths coverage...
The aim of software testing is to find faults in the program under test. Generating test data which can reveal faults is the core issue. Although existing methods of path-oriented testing can generate test data which traverse target paths, they cannot guarantee that the data find the faults in the program. In this paper, we transform the problem into a multi-objective optimization problem with constrains...
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