Call For Paper Volume:4 Issue:8 Aug'2017 |

Software Defect Prediction using Local and Global Analysis

Publication Date : 31/01/2015



Author(s) :

Ms. N. Narmadha , Dr. M. Latha , Mr. R. Subramanian.


Volume/Issue :
Volume 2
,
Issue 1
(01 - 2015)



Abstract :

The software defect factors are used to measure the quality of the software. The software effort estimation is used to measure the effort required for the software development process. The defect factor makes an impact on the software development effort. Software development and cost factors are also decided with reference to the defect and effort factors. The software defects are predicted with reference to the module information. Module link information are used in the effort estimation process. Data mining techniques are used in the software analysis process. Clustering techniques are used in the property grouping process. Rule mining methods are used to learn rules from clustered data values. The “WHERE” clustering scheme and “WHICH” rule mining scheme are used in the defect prediction and effort estimation process. The system uses the module information for the defect prediction and effort estimation process.   The proposed system is designed to improve the defect prediction and effort estimation process. The Single Objective Genetic Algorithm (SOGA) is used in the clustering process. The rule learning operations are carried out sing the Apriori algorithm. The system improves the cluster accuracy levels. The defect prediction and effort estimation accuracy is also improved by the system. The system is developed using the Java language and Oracle relation database environment.


No. of Downloads :

13


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Software Defect Prediction using Local and Global Analysis

January 20, 2015