Parameter tuning in KNN for software defect prediction: an empirical analysis

Parameter tuning in KNN for software defect prediction: an empirical analysis

Software Defect Prediction (SDP) provides insights that can help software teams to allocate their limited resources in developing software systems. It predicts likely defective modules and helps avoid pitfalls that are associated with such modules. However, these insights may be inaccurate and unrel...

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Bibliographic Details
Main Authors: Modinat Abolore Mabayoje, Abdullateef Olwagbemiga Balogun, Hajarah Afor Jibril, Jelili Olaniyi Atoyebi, Hammed Adeleye Mojeed, Victor Elijah Adeyemo
Format: Article
Language:English
Published: Diponegoro University 2019-10-01
Series:Jurnal Teknologi dan Sistem Komputer
Subjects:
software defect prediction
parameter tuning
k-nearest neighbor
distance function
distance weighting
Online Access:https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/13262

Internet

https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/13262

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