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: "a literature survey of the quality economics of defect detection techniques"
  Abstract: Over the last decades, a considerable amount of empirical knowledge about the efficiency of defect-detection techniques has been accumulated. Also a few surveys have summarised those studies with different focuses, usually for a specific type of technique. This work reviews the results of empirical studies and associates them with a model of software quality economics. This allows a better comparison of the different techniques and supports the application of the model in practice as several parameters can be approximated with typical average values. The main contributions are the provision of average values of several interesting quantities w.r.t. defect detection and the identification of areas that need further research because of the limited knowledge available.

Connected through hyperedge HE-1 (induced by source paper "a bayesian network approach to assess and predict software quality using activity based quality models"):
  with members:
    - "a bayesian network approach to assess and predict software quality using activity based quality models"
    - "tool support for continuous quality control"
    - "a comprehensive model of usability"
    - "an activity based quality model for maintainability"

Connected through hyperedge HE-2 (induced by source paper "a bayesian network approach to assess and predict software quality using activity based quality models"):
  with members:
    - "a bayesian network approach to assess and predict software quality using activity based quality models"
    - "tool support for continuous quality control"
    - "a comprehensive model of usability"
    - "an activity based quality model for maintainability"

Connected through hyperedge HE-3 (induced by source paper "managing quality requirements using activity based quality models"):
  with members:
    - "a comprehensive model of usability"
    - "an activity based quality model for maintainability"

Connected through hyperedge HE-4 (induced by source paper "integrating a model of analytical quality assurance into the v modell xt"):
  with members:
    - "a model and sensitivity analysis of the quality economics of defect detection techniques"

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)