When less is more: on the value of “co-training” for semi-supervised software defect predictors

S Majumder, J Chakraborty, T Menzies - Empirical Software Engineering, 2024 - Springer
Labeling a module defective or non-defective is an expensive task. Hence, there are often
limits on how much-labeled data is available for training. Semi-supervised classifiers use far …
被引用次数：3 相关文章

When Less is More: On the Value of" Co-training" for Semi-Supervised Software Defect Predictors

S Majumder, J Chakraborty, T Menzies - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
Labeling a module defective or non-defective is an expensive task. Hence, there are often
limits on how much-labeled data is available for training. Semi-supervised classifiers use far …

When less is more: on the value of “co-training” for semi-supervised software defect predictors

S Majumder, J Chakraborty, T Menzies - Empirical Software Engineering, 2024 - dl.acm.org
Labeling a module defective or non-defective is an expensive task. Hence, there are often
limits on how much-labeled data is available for training. Semi-supervised classifiers use far …

When Less is More: On the Value of" Co-training" for Semi-Supervised Software Defect Predictors

S Majumder, J Chakraborty, T Menzies - arXiv preprint arXiv:2211.05920, 2022 - arxiv.org
Labeling a module defective or non-defective is an expensive task. Hence, there are often
limits on how much-labeled data is available for training. Semi-supervised classifiers use far …