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METARO^(3):metamorphic relation Group for Automatic Program Repair

Computer Modeling in Engineering & Sciences 2019年第12期121卷 909-928页

作者： Tingting Wu Yunwei Dong School of Computer Science and Engineering Northwestern Polytechnical UniversityXi’an710072China

The application of metamorphic testing(MT)on automatic program repair(APR-MT)is used to generate a patch without test oracles by examining whether the input metamorphic relation(MR)is satisfied or ***,the delivered patch is plausible since it may satisfy the input MR but violate other *** inspires us to propose an improved approach to enhance the effectiveness of APR-MT with metamorphic relation *** involves three major ***,we formally define the repair process of APR-MT by building the model of automatic program repair and metamorphic testing ***,we propose the advanced model of automatic program repair based on metamorphic relation group,named METARO^(3),which takes several MRs as input while only one MR is used in *** additionally present two kinds of selection strategies to rank MRs in descending order of the fault detection capability,which helps shorten the repair time of finding a *** demonstrate the feasibility and procedure of our approach,an illustration example was *** results show that METARO^(3) can improve the effectiveness of APR-MT significantly.

关键词： Automatic program repair metamorphic testing metamorphic relation formal modeling

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AN EVALUATION APPROACH FOR THE PROGRAM OF ASSOCIATION RULES ALGORITHM BASED ON metamorphic relationS

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Journal of Electronics(China) 2011年第4期28卷 623-631页

作者： Zhang Jing Hu Xuegang Zhang Bin School of Computer and Information Hefei University of Technology Hefei 230009 China

As data mining more and more popular applied in computer system,the quality as-surance test of its software would be get more and more ***,because of the ex-istence of the 'oracle' problem,the traditional test method is not ease fit for the application program in the field of the data *** this paper,based on metamorphic testing,a software testing method is proposed in the field of the data mining,makes an association rules algorithm as the specific case,and constructs the metamorphic relation on the *** show that the method can achieve the testing target and is feasible to apply to other domain.

关键词： Data mining metamorphic relation Association rule ’Oracle’ problem

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Life Prediction Model of Machine Tool based on Deep Learning

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International Journal of Plant Engineering and Management 2021年第1期26卷 1-15页

作者： HE Jiawei ZHAO Chendi GAO Ruiyu LIU Xuehui WANG Xue School of Information Engineering China University of GeosciencesBeijing 100083China

In view of the shortage of traditional life prediction methods for machine tools,such as low accuracy of life prediction and few samples basis attributes,a life prediction model of machine tools combined with machine tool attributes is *** life prediction model of machine tool adopts KL dispersion distribution theory,uses modal superposition method to carry out machine tool life analysis,calculates the theoretical life of machine tool,and then carries on the simulation,obtains the machine tool life prediction *** with the traditional method of machine tool life prediction,the model is based on the application life fatigue damage model,which superimposes the service times and maintenance cycle of the machine tool,derives the influence factor of machine tool life,and obtains the linear relationship between the influence factor of machine tool life and the life of machine *** influence factor of machine tool life is introduced as the life prediction parameter of machine *** data transformation relationship of HT300 parts is *** original part data is *** effective training set is *** life prediction model of machine tool based on deep learning is *** quantitative analysis of machine tool life is carried *** experiment of machine tool life prediction using training data set proves the validity of the *** test was carried out on the training data set to reflect the robustness of the *** prediction accuracy of the model is further verified by Weibull test.

关键词： life prediction model machine tool KL divergence metamorphic relation data enhancement

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