most citedSystematic definition and classification of data anomalies in DBMS (English Version)

1 citations · 1 across the 4 of their papers we have counts for

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6 papers

cs.DB2025

Performant Synchronization in Geo-Distributed Databases

Duling Xu, Tong Li, Zegang Sun +5

The deployment of databases across geographically distributed regions has become increasingly critical for ensuring data reliability and scalability. Recent studies indicate that d…

cs.DB2025

Anomaly Pattern-guided Transaction Bug Testing in Relational Databases

Huicong Xu, Shuang Liu, Xianyu Zhu +3

Concurrent transaction processing is a fundamental capability of Relational Database Management Systems (RDBMSs), widely utilized in applications requiring high levels of parallel…

cs.SE2025

Testing Question Answering Software with Context-Driven Question Generation

Shuang Liu, Zhirun Zhang, Jinhao Dong +5

Question-answering software is becoming increasingly integrated into our daily lives, with prominent examples including Apple Siri and Amazon Alexa. Ensuring the quality of such sy…

cs.CL2025

Investigating the Impact of Rationales for LLMs on Natural Language Understanding

Wenhang Shi, Shuqing Bian, Yiren Chen +5

Chain-of-thought (CoT) rationales, which provide step-by-step reasoning to derive final answers, benefit LLMs in both inference and training. Incorporating rationales, either by ge…

cs.DB2025

TxnSails: Achieving Serializable Transaction Scheduling with Self-Adaptive Isolation Level Selection

Qiyu Zhuang, Wei Lu, Shuang Liu +6

Achieving the serializable isolation level, regarded as the gold standard for transaction processing, is costly. Recent studies reveal that adjusting specific query patterns within…

cs.DB20211 cited

Systematic definition and classification of data anomalies in DBMS (English Version)

Li Hai-Xiang, Li Xiao-Yan, Liu Chang +3

There is no unified definition of Data anomalies, which refers to the specific data operation mode that may violate the consistency of the database. Known data anomalies include Di…