human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "truffle tests for free replaying ethereum smart contracts for transparency"
  Abstract: The Ethereum blockchain is essentially a globally replicated public database. Programs called smart contracts can access this database. Over 10 million smart contracts have been deployed on the Ethereum blockchain. Executing a method of a smart contract generates a transaction that is also stored on the blockchain. There are over 1 billion Ethereum transactions to date. Smart contracts that are transparent about their function are more successful than opaque contracts. We have therefore developed a tool (ContractVis) to explore the transparency of smart contracts. The tool generates a replay script for the historic transactions of a smart contract. The script executes the transactions with the same arguments as recorded on the blockchain, but in a minimal test environment. Running a replay script provides insights into the contract, and insights into the blockchain explorer that was used to retrieve the contract and its history. We provide five concrete recommendations for blockchain explorers like Etherscan to improve the transparency of smart contracts.

Connected through hyperedge HE-1 (induced by source paper "mutation testing of smart contracts at scale"):
  with members:
    - "basis path coverage criteria for smart contract application testing"
    - "sif a framework for solidity code instrumentation and analysis"
    - "testing smart contracts gets smarter"
    - "oracle supported dynamic exploit generation for smart contracts"
    - "evmfuzz differential fuzz testing of ethereum virtual machine"
    - "mutation testing for ethereum smart contract"
    - "user experience with language independent formal verification"

Connected through hyperedge HE-2 (induced by source paper "the security reference architecture for blockchains towards a standardized model for studying vulnerabilities threats and defenses"):
  with members:
    - "ekiden a platform for confidentiality preserving trustworthy and performant smart contracts"
    - "a survey on ethereum systems security vulnerabilities attacks and defenses"
    - "security and privacy on blockchain"
    - "deconstructing blockchains a comprehensive survey on consensus membership and structure"
    - "blockchain technologies for the internet of things research issues and challenges"
    - "exploring the attack surface of blockchain a systematic overview"
    - "strongchain transparent and collaborative proof of work consensus"
    - "a survey on consensus mechanisms and mining strategy management in blockchain networks"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.SE(Software Engineering)