Papers by Keyword: Test Data

Abstract: An advanced genetic algorithm is proposed to apply to test data generation for paths coverage. We advanced the classical genetic algorithm: divided the population into “families”, using the family-in-crossover in each family and PSO-crossover operator between two families which commixed the thought of particle swarm; Then, the fitness function is designed by consider of the difference degree and the degree of approximation, and the model of the advanced genetic algorithm applying to test data generation for paths coverage is given in detail. Finally, the proposed algorithm is applied to a benchmark program, and compared with previous algorithms; the results show that the proposed algorithm is obviously advantageous in the number of generations and time consumption.

Abstract: By comprehensive analyzing the lead-acid batteries development situation of electric vehicle at first, and making a comprehensive comparison for the performances and features of the lead-acid batteries, nickel hydrogen batteries and lithium-ion batteries, then studying the charge and discharge performance of the lithium batteries which provides technical support and references for the application and popularization of lithium-ion batteries in electric vehicles.

Abstract: Compared with common switching power supply, EV charger has more functional requirements, more severe demands on electrical performance, and wider range of output voltage and current value, what will make the test more complex. Variety of conditions will be set to test the electrical performance of the charger completely, and a large amount of test data will be generated. This article describes the data management platform of EV charging equipment test, which uses real-time database to manage the data. It also detailed introduce data collection and storage, data analysis and report generation and database design of the test platform. The test results show that this system can manage the test data safely, quickly and reliably, providing a convenient and fast way to achieve rapid automated charger test.

Abstract: For the purpose of improving scientific regulatory and effectively making use of supervision information for food safety, we have collected more than 200,000 testing data in the information system from 2009 to 2013. In this paper, with association rule, several analytical models, as exemplified by soy data, was created according to the feature of soy. Valuable information can be obtained from massive testing data, which is conducive to food safety supervisions.

Abstract: We designed and developed a test data interpreting system to improve the efficiency and accuracy of test data analysis of space power-source and to meet the challenge challenges of heavy productive task and mass product quality. The design took full thought of the characteristics of the aerospace product, actual test data obtained from the development, the product test goal, the composition and the basic requirements of the test data analysis. The system realized automatic data interpretation, multi-parameter interpretation, multidimensional time series interpretation and graphic curve display, demonstrating its rosy future in solving the problem of test data analysis in aerospace field.

Abstract: Aiming at the calculating the flow of cutthroat flume in Hydraulic Engineering, the test data is processed through the nonlinear regression analysis program which is based on the principle of least square method. With 33 equations of various functions including linear, power function curve and exponential curve to be selected as the mathematical model, the regression analysis is taken through 33 equations. Comparing the regression coefficient from analysis, the optimal mathematical model is selected as the empirical formula, which has great significance in guiding the practical engineering.

Abstract: Test data generation is key of software testing. Test data methods based on program executing overcomes the problem that static methods limit tested procedure, which shows some advantages, but program executing methods need support of searching algorithm. This paper presents the searching algorithm based on dynamic data, it judges speedily adjustment rang of variables of tested procedure, does not try to search step by step and improves efficiency of test data generation..

Abstract: Software testing is an important technology used to assure the quality of software. The design of test data is very important, which determines the testing effect in the software testing. Existing design approach to test data cant simulate the fault in software run-environment systematically. Mutation testing is an effective software testing method, which can simulate software defects systematically. Using mutation testing for reference, this paper proposes an approach to mutation-based test data generation. By analyzing the demands of test data, such as coverage rate, fault simulation, we design a series of data mutation operators, which can accomplish design of test data systematically. Experiments are carried out on the supporting tool to validate the effectiveness of this approach.

Abstract: In this paper, composite static strength test are analyzed with the Weibull and normal statistical method. Compare the Weibull analysis with the normal analysis, which shows that the A-basis value and B-basis value from the Weibull analysis respectively are less than ones from normal analysis by approximate 9.7% and 2.6% under tension loading, on the other hand they are decreased by approximate 16.1% and 5.2% under compression loading. This analysis result has the higher application worth.

Abstract: Evaluation method of reliability parameter estimation needs to be improved effectively with the advance of science and technology. This paper develops a new method of parameter estimation, which is named E-Bayesian estimation method. In the case one hyper-parameter, the definition of E-Bayesian estimation of the failure probability is provided, moreover, the formulas of E-Bayesian estimation and hierarchical Bayesian estimation, and the property of E-Bayesian estimation of the failure probability are also provided. Finally, calculation on practical problems shows that the provided method is feasible and easy to perform.