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: "risk assessment for spreadsheet developments choosing which models to audit"
  Abstract: Errors in spreadsheet applications and models are alarmingly common (some authorities, with justification cite spreadsheets containing errors as the norm rather than the exception). Faced with this body of evidence, the auditor can be faced with a huge task - the temptation may be to launch code inspections for every spreadsheet in an organisation. This can be very expensive and time-consuming. This paper describes risk assessment based on the "SpACE" audit methodology used by H M Customs & Excise's tax inspectors. This allows the auditor to target resources on the spreadsheets posing the highest risk of error, and justify the deployment of those resources to managers and clients. Since the opposite of audit risk is audit assurance the paper also offers an overview of some elements of good practice in the use of spreadsheets in business.

Connected through hyperedge HE-1 (induced by source paper "development and experimentation of a software tool for identifying high risk spreadsheets for auditing"):
  with members:
    - "spreadsheet good practice is there any such thing"
    - "controlling end user computing applications a case study"
    - "ensuring spreadsheet integrity with model master"
    - "rapid spreadsheet reshaping with excelsior multiple drastic changes to content and layout are easy when you represent enough structure"
    - "a paradigm for spreadsheet engineering methodologies"
    - "considering functional spreadsheet operator usage suggests the value of example driven modelling for decision support systems"
    - "the importance and criticality of spreadsheets in the city of london"
    - "recommended practices for spreadsheet testing"

Connected through hyperedge HE-2 (induced by source paper "excel 2013 spreadsheet inquire"):
  with members:
    - "drivers of the cost of spreadsheet audit"
    - "a spreadsheet auditing tool evaluated in an industrial context"
    - "managing critical spreadsheets in a compliant environment"
    - "correctness is not enough"
    - "a typical model audit approach spreadsheet audit methodologies in the city of london"

Connected through hyperedge HE-3 (induced by source paper "an approach for the automated risk assessment of structural differences between spreadsheets diffxl"):
  with members:
    - "reducing overconfidence in spreadsheet development"
    - "automating spreadsheet discovery risk assessment"
    - "impact of errors in operational spreadsheets"

Connected through hyperedge HE-4 (induced by source paper "teaching spreadsheet development using peer audit and self audit methods for reducing error"):
  with members:
    - "spreadsheet errors what we know what we think we can do"

Connected through hyperedge HE-5 (induced by source paper "information and data quality in spreadsheets"):
  with members:
    - "in pursuit of spreadsheet excellence"

Connected through hyperedge HE-6 (induced by source paper "spreadsheets in clinical medicine"):
  with members:
    - "reducing overconfidence in spreadsheet development"
    - "spreadsheet errors what we know what we think we can do"
    - "interpretation as a factor in understanding flawed spreadsheets"
    - "the importance and criticality of spreadsheets in the city of london"
    - "spreadsheet engineering a research framework"

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)