Identifying erroneous software changes through self-supervised contrastive learning on time series data

X Wang, K Yin, Q Ouyang, X Wen… - 2022 IEEE 33rd …, 2022 - ieeexplore.ieee.org
Software changes are frequent and inevitable. How-ever, erroneous software changes may
cause failures and incidents, degrading user experience and system stability. Thus, it is …
被引用次数：12 相关文章
[PDF] aiops.org

[PDF][PDF] Identifying Erroneous Software Changes through Self-Supervised Contrastive Learning on Time Series Data

X Wang, K Yin, Q Ouyang, X Wen, S Zhang, W Zhang… - netman.aiops.org
Software changes are frequent and inevitable. However, erroneous software changes may
cause failures and incidents, degrading user experience and system stability. Thus, it is …
[PDF] iops.ai

[PDF][PDF] Identifying Erroneous Software Changes through Self-Supervised Contrastive Learning on Time Series Data

X Wang, K Yin, Q Ouyang, X Wen, S Zhang, W Zhang… - nkcs.iops.ai
Software changes are frequent and inevitable. However, erroneous software changes may
cause failures and incidents, degrading user experience and system stability. Thus, it is …

Identifying Erroneous Software Changes through Self-Supervised Contrastive Learning on Time Series Data

X Wang, K Yin, Q Ouyang, X Wen, S Zhang… - 2022 IEEE 33rd …, 2022 - computer.org
Software changes are frequent and inevitable. How-ever, erroneous software changes may
cause failures and incidents, degrading user experience and system stability. Thus, it is …
[PDF] iops.ai

[PDF][PDF] Identifying Erroneous Software Changes through Self-Supervised Contrastive Learning on Time Series Data

X Wang, K Yin, Q Ouyang, X Wen, S Zhang, W Zhang… - nkcs.iops.ai
Software changes are frequent and inevitable. However, erroneous software changes may
cause failures and incidents, degrading user experience and system stability. Thus, it is …