activity
20142024
most citedFormalizing UML State Machines for Automated Verification -- A Survey

29 citations · 40 across the 10 of their papers we have counts for

collaborators

10 papers

cs.SE20247 cited

CoEdPilot: Recommending Code Edits with Learned Prior Edit Relevance, Project-wise Awareness, and Interactive Nature

Chenyan Liu, Yufan Cai, Yun Lin +6

Recent years have seen the development of LLM-based code generation. Compared to generating code in a software project, incremental code edits are empirically observed to be more f…

cs.SE202429 cited

Formalizing UML State Machines for Automated Verification -- A Survey

Étienne André, Shuang Liu, Yang Liu +3

The Unified Modeling Language (UML) is a standard for modeling dynamic systems. UML behavioral state machines are used for modeling the dynamic behavior of object-oriented designs.…

cs.LG2024

Contribution Evaluation of Heterogeneous Participants in Federated Learning via Prototypical Representations

Qi Guo, Minghao Yao, Zhen Tian +4

Contribution evaluation in federated learning (FL) has become a pivotal research area due to its applicability across various domains, such as detecting low-quality datasets, enhan…

cs.SE20241 cited

Towards Large Language Model Aided Program Refinement

Yufan Cai, Zhe Hou, Xiaokun Luan +4

Program refinement involves correctness-preserving transformations from formal high-level specification statements into executable programs. Traditional verification tool support f…

cs.CR20241 cited

Explainable and Transferable Adversarial Attack for ML-Based Network Intrusion Detectors

Hangsheng Zhang, Dongqi Han, Yinlong Liu +5

espite being widely used in network intrusion detection systems (NIDSs), machine learning (ML) has proven to be highly vulnerable to adversarial attacks. White-box and black-box ad…

cs.SE20231 cited

Empirical Study on Transformer-based Techniques for Software Engineering

Yan Xiao, Xinyue Zuo, Lei Xue +3

Many Transformer-based pre-trained models for code have been developed and applied to code-related tasks. In this paper, we review the existing literature, examine the suitability…