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

Wang, Xuanrun; Yin, Kanglin; Ouyang, Qianyu; Wen, Xidao; Zhang, Shenglin; Zhang, Wenchi; Cao, Li; Han, Jiuxue; Jin, Xing; Pei, Dan

doi:10.1109/issre55969.2022.00043

2022 IEEE 33rd International Symposium on Software Reliability Engineering (ISSRE) 2022

DOI: 10.1109/issre55969.2022.00043

|View full text |Cite

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

Xuanrun Wang

Kanglin Yin

Qianyu Ouyang

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

Publication Types

Select...

Other5

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 7 publications

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Incident Prevention Through Reliable Changes Deployment

Kapel

2023

2023 IEEE/ACM 45th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

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

Cited by 7 publications

References 49 publications

Incident Prevention Through Reliable Changes Deployment

Incident Prevention Through Reliable Changes Deployment

How to Manage Change-Induced Incidents? Lessons from the Study of Incident Life Cycle

Identifying Root-Cause Changes for User-Reported Incidents in Online Service Systems

Contact Info

Product

Resources

About