ELBlocker: Predicting blocking bugs with ensemble imbalance learning

ELBlocker: Predicting blocking bugs with ensemble imbalance learning

Context: Blocking bugs are bugs that prevent other bugs from being fixed. Previous studies show that blocking bugs take approximately two to three times longer to be fixed compared to non-blocking bugs. Objective: Thus, automatically predicting blocking bugs early on so that developers are aware of...

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Bibliographic Details
Main Authors: XIA, Xin, David LO, SHIHAB, Emad, WANG, Xinyu, YANG, Xiaohu
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2015
Subjects:
Blocking bug
Ensemble learning
Imbalance learning
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/3100
https://ink.library.smu.edu.sg/context/sis_research/article/4100/viewcontent/ELBlockerPredictingBlockingBugs_2015.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/3100
https://ink.library.smu.edu.sg/context/sis_research/article/4100/viewcontent/ELBlockerPredictingBlockingBugs_2015.pdf

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