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: "the detection of human spreadsheet errors by humans versus inspection auditing software"
  Abstract: Previous spreadsheet inspection experiments have had human subjects look for seeded errors in spreadsheets. In this study, subjects attempted to find errors in human-developed spreadsheets to avoid the potential artifacts created by error seeding. Human subject success rates were compared to the successful rates for error-flagging by spreadsheet static analysis tools (SSATs) applied to the same spreadsheets. The human error detection results were comparable to those of studies using error seeding. However, Excel Error Check and Spreadsheet Professional were almost useless for correctly flagging natural (human) errors in this study.

Connected through hyperedge HE-1 (induced by source paper "the future of spreadsheets in the big data era"):
  with members:
    - "what we don t know about spreadsheet errors today the facts why we don t believe them and what we need to do"
    - "multidisciplinary engineering models methodology and case study in spreadsheet analytics"
    - "governance of spreadsheets through spreadsheet change reviews"
    - "spreadsheets grow up three spreadsheet engineering methodologies for large financial planning models"
    - "reducing the risk of spreadsheet usage a case study"
    - "spreadsheets and the financial collapse"

Connected through hyperedge HE-2 (induced by source paper "automated refactoring of nested if formulae in spreadsheets"):
  with members:
    - "a conceptual model for measuring the complexity of spreadsheets"
    - "what we don t know about spreadsheet errors today the facts why we don t believe them and what we need to do"
    - "enron versus euses a comparison of two spreadsheet corpora"
    - "classification of spreadsheet errors"

Connected through hyperedge HE-3 (induced by source paper "what is the best way for developers to learn new software tools an empirical comparison between a text and a video tutorial"):
  with members:
    - "live inspection of spreadsheets"

Connected through hyperedge HE-4 (induced by source paper "auditing spreadsheets with or without a tool"):
  with members:
    - "excel 2013 spreadsheet inquire"
    - "spreadsheet errors what we know what we think we can do"

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)