most citedOne Adapter for All Programming Languages? Adapter Tuning for Code Search and Summarization

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cs.SE2023★ 1 cited

One Adapter for All Programming Languages? Adapter Tuning for Code Search and Summarization

Deze Wang, Boxing Chen, Shanshan Li +4

As pre-trained models automate many code intelligence tasks, a widely used paradigm is to fine-tune a model on the task dataset for each programming language. A recent study report…

cs.SE2021

Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding

Deze Wang, Zhouyang Jia, Shanshan Li +4

With the great success of pre-trained models, the pretrain-then-finetune paradigm has been widely adopted on downstream tasks for source code understanding. However, compared to co…

cs.SE2021

ConfInLog: Leveraging Software Logs to Infer Configuration Constraints

Shulin Zhou, Xiaodong Liu, Shanshan Li +5

Misconfigurations have become the dominant causes of software failures in recent years, drawing tremendous attention for their increasing prevalence and severity. Configuration con…

cs.SE2021

deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search

Chen Zeng, Yue Yu, Shanshan Li +6

With the rapid increase in the amount of public code repositories, developers maintain a great desire to retrieve precise code snippets by using natural language. Despite existing…

cs.SE2021

An Evolutionary Study of Configuration Design and Implementation in Cloud Systems

Yuanliang Zhang, Haochen He, Owolabi Legunsen +3

Many techniques were proposed for detecting software misconfigurations in cloud systems and for diagnosing unintended behavior caused by such misconfigurations. Detection and diagn…

cs.SE2021

DepOwl: Detecting Dependency Bugs to Prevent Compatibility Failures

Zhouyang Jia, Shanshan Li, Tingting Yu +5

Applications depend on libraries to avoid reinventing the wheel. Libraries may have incompatible changes during evolving. As a result, applications will suffer from compatibility f…