Method for the Automatic Generation of Software Test Data Based on the Integration of Structural Equation Model
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Han Likai, and Liu Jun
Software reliability evaluation performance directly affects the workload of automatic software test data generation. Therefore, in view of the problem in the automatic generation and correction processing of software test data in the software test data automatic generation work, a kind of method for the automatic generation of software test data based on the integration of the structural equation model is put forward. This method takes the diversity of the software engineering into consideration, makes use of the structural equation model to automatically generate the software test data, and combines the exponential distribution correction time to complete the software test data correction process. Through the test of the two real fault data sets (Ohba and Wood), the proposed method is compared with the existing software reliability growth model (hereinafter referred to as SRGM for short). The results show that the model fitting effect with the integration of the structural equation model is the best, which demonstrates more superior software reliability evaluation performance and model adaptability.
Software Test Data, Automatic Generation, Reliability Evaluation, Structural Equation Model