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Method for distributing bug reports based on multi-feature bug redistribution diagrams

A defect reporting and defect allocation technology, which is applied in software testing/debugging, etc., can solve the problems of low prediction accuracy, reduce the length of redistribution path, and cannot effectively deal with defect redistribution problems, so as to improve prediction accuracy, reduce failure rate, Effect of reducing path length

Inactive Publication Date: 2012-08-08
NANJING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Problems solved by technology

Previous prediction methods mainly use machine learning models to predict defect repair personnel. This method has low prediction accuracy and cannot effectively deal with the defect reassignment problem and reduce the length of the reassignment path.

Method used

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  • Method for distributing bug reports based on multi-feature bug redistribution diagrams
  • Method for distributing bug reports based on multi-feature bug redistribution diagrams
  • Method for distributing bug reports based on multi-feature bug redistribution diagrams

Examples

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Embodiment Construction

[0038] The method for assigning developers to defect reports by utilizing the defect redistribution graph proposed by the present invention is a method for predicting defect repairers based on the defect redistribution graph and similarity. Extract the repaired defect reports in the data set, divide the defect reports into training set and test set, use the training set to train the machine learning model and build a defect reassignment map, use the machine learning model to predict the repair personnel of new defects, and then use the defect reassignment The figure updates the defect repair personnel list, and selects the top five defect repair personnel. The whole method includes four modules: extracting defect reports, training machine learning models, establishing defect redistribution maps, and predicting and evaluating defect repair personnel.

[0039] The method for implementing defect allocation using a machine learning model and a defect reassignment map requires the ...

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Abstract

Disclosed is a method for distributing bug reports based on multi-feature bug redistribution diagrams, machine learning models and the bug redistribution diagrams are comprehensively utilized for predicting bug fixing staffs, the redistribution relationships among developers in fixed bug reports are used for converting redistribution relationships into the bug redistribution diagrams, and after the bug report developers are predicted by using the machine learning models, the bug report developers are renewed according to the bug redistribution diagrams to achieve the prediction of the bug report fixing staffs. The method includes the steps of firstly, triaging selected bug report data into a training set and a test set; secondly, using the training set to train the machine learning models and creating the bug redistribution diagrams; thirdly, using the machine learning models to predict the bug fixing staffs of the test set; and fourthly, renewing the bug fixing staffs according to the bug redistribution diagrams. According to the method for distributing the bug reports based on the multi-feature bug redistribution diagrams, the path length of bug redistribution is effectively shortened, the prediction accuracy of the bug redistribution is improved, and the failure rate of the search of the bug fixing staffs are reduced.

Description

technical field [0001] The invention relates to a defect distribution method, which mainly utilizes the distribution history of defect reports to create a defect redistribution graph, and realizes the distribution of defect reports in combination with the defect redistribution graph, belonging to the fields of data mining and machine learning. Background technique [0002] A defect is an error in software that represents some unexpected behavior in the software development process for a given requirement [1]. Timely identification and correction of software defects is crucial to software engineering practice. In order to deal with a large number of defect reports, software tracking systems such as Bugzilla have been widely used, and most defect reports are manually assigned developers. The method is time-consuming and wastes manpower; Mozilla and Eclipse projects will receive hundreds of defect reports every day, and then select a developer from thousands of developers to fi...

Claims

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Application Information

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IPC IPC(8): G06F11/36
Inventor 张卫丰张静张迎周周国强周国富王慕妮许碧欢陆柳敏顾赛赛
Owner NANJING UNIV OF POSTS & TELECOMM
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