Building Defect Prediction Models by Online Learning Considering Defect Overlooking

Building defect prediction models based on online learning can enhance prediction accuracy. It continuously rebuilds a new prediction model while adding new data points. However, a module predicted as “non-defective” can result in fewer test cases for such modules. Thus, a defective module can be ov...

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Veröffentlicht in:IEICE Transactions on Information and Systems 2024, pp.2024MPL0001
Hauptverfasser: FEDOROV, Nikolay, YAMASAKI, Yuta, TSUNODA, Masateru, MONDEN, Akito, TAHIR, Amjed, BENNIN, Kwabena Ebo, TODA, Koji, NAKASAI, Keitaro
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Sprache:eng
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