Unsupervised software defect prediction sysmatic review meta-data synthesized from 49 selected papers

Version 4 2020-02-10, 14:15

Version 3 2019-09-25, 10:56

Version 2 2019-07-12, 08:31

Version 1 2019-02-07, 07:46

dataset

posted on 2020-02-10, 14:15 authored by Ning LiNing Li, Martin ShepperdMartin Shepperd, Yuchen GuoYuchen Guo

This dataset is extracted and synthesized from 49 primary studies which related to unsupervised defect prediction published between January 2000 and March 2018 and satisfied our inclusion criteria. It contains 2456 individual experimental results. We use this dataset to conduct a comparison study between supervised and unsupervised defect prediciton techniques.

Funding

National Natural Science Foundation of China [61402370]

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Keywords

Unsupervised defect prediciton meta-data Paper Info Experiment detail Software Engineering Pattern Recognition and Data Mining

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CC BY 4.0

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