alexa Abstract | A Survey on Effective Bug Triage with Data Reduction
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

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Research Article Open Access


We primarily focus the bug reduction system in this project with an assumption that the communication channel between developer and the bug reduction is maintained. We have to prevent redundant bug in the repository. We introduce novel alternative that provides significantly-improved bug report. Users dislike the redundancy of same bug frequently in the bug data, and assign appropriate developer to resolve bug issues. The second approach allows the associated developer to resolve them according to bug classification. This is a tedious assumption, since private data can be exposed by either software bugs or configuration errors at the trusted servers or by malicious administrators. Finally, relying on heavy-weight mechanisms to obtain provable redundant bug report.

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Author(s): Kirti Shamrao Tandale, Prof. Bhavana Pansare


Mining software repositories, prediction and reduction technique, application of data preprocessing, data management in bug repositories, bug data reduction, feature selection, instance selection, bug triage., Artificial Intelligence in Electronics,Analysis of Power Electronic Converters,Digital Signal Processing,Satellite Communication.

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