Computer Science ›› 2016, Vol. 43 ›› Issue (7): 171-176.doi: 10.11896/j.issn.1002-137X.2016.07.031

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Software Defect Prediction Model Based on GMDH Causal Relationship

ZHANG De-ping, LIU Guo-qiang and ZHANG Ke   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Software defect prediction is an important aspect in the field of software reliability research.In this paper,we presented a software defect prediction model based on GMDH networks and causal test theory.The model selects the software metrics with the defect causal relationship by learning Granger test ideas and uses the GMDH network which can check the non-linear causality between multiple factors of software defect.Finally,based on two real software failure data sets,we designed an experiment to compare the proposed method with the Granger test software defect prediction model.The experiment results show that the proposed model is more effective and efficient than Granger test software defect prediction model.

Key words: Software defect,Causal relationship,Software metrics,GMDH network,Granger test

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