Information Retrieval Based Nearest Neighbor Classification for Fine-Grained Bug Severity Prediction

Information Retrieval Based Nearest Neighbor Classification for Fine-Grained Bug Severity Prediction

Bugs are prevalent in software systems. Some bugs are critical and need to be fixed right away, whereas others are minor and their fixes could be postponed until resources are available. In this work, we propose a new approach leveraging information retrieval, in particular BM25-based document simil...

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Bibliographic Details
Main Authors: TIAN, Yuan, LO, David, SUN, Chengnian
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2012
Subjects:
Severity Prediction
Software Defects
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/1586
https://ink.library.smu.edu.sg/context/sis_research/article/2585/viewcontent/IR_NNC_severity_av.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/1586
https://ink.library.smu.edu.sg/context/sis_research/article/2585/viewcontent/IR_NNC_severity_av.pdf

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