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 quamoco product quality modelling and assessment approach"
  Abstract: Published software quality models either provide abstract quality attributes or concrete quality assessments. There are no models that seamlessly integrate both aspects. In the project Quamoco, we built a comprehensive approach with the aim to close this gap.     For this, we developed in several iterations a meta quality model specifying general concepts, a quality base model covering the most important quality factors and a quality assessment approach. The meta model introduces the new concept of a product factor, which bridges the gap between concrete measurements and abstract quality aspects. Product factors have measures and instruments to operationalise quality by measurements from manual inspection and tool analysis. The base model uses the ISO 25010 quality attributes, which we refine by 200 factors and 600 measures for Java and C# systems.     We found in several empirical validations that the assessment results fit to the expectations of experts for the corresponding systems. The empirical analyses also showed that several of the correlations are statistically significant and that the maintainability part of the base model has the highest correlation, which fits to the fact that this part is the most comprehensive. Although we still see room for extending and improving the base model, it shows a high correspondence with expert opinions and hence is able to form the basis for repeatable and understandable quality assessments in practice.

Connected through hyperedge HE-1 (induced by source paper "are non functional requirements really non functional an investigation of non functional requirements in practice"):
  with members:
    - "how to specify non functional requirements to support seamless modeling a study design and preliminary results"

Connected through hyperedge HE-2 (induced by source paper "operationalised product quality models and assessment"):
  with members:
    - "introduction of static quality analysis in small and medium sized software enterprises experiences from technology transfer"
    - "adapting software quality models practical challenges approach and first empirical results"
    - "a bayesian network approach to assess and predict software quality using activity based quality models"
    - "model based product quality evaluation with multi criteria decision analysis"
    - "do code clones matter"
    - "a bayesian network approach to assess and predict software quality using activity based quality models"
    - "tool support for continuous quality control"
    - "an activity based quality model for maintainability"

Connected through hyperedge HE-3 (induced by source paper "measuring object oriented design principles"):
  with members:
    - "operationalised product quality models and assessment"

Connected through hyperedge HE-4 (induced by source paper "introduction of static quality analysis in small and medium sized software enterprises experiences from technology transfer"):
  with members:
    - "challenges of the dynamic detection of functionally similar code fragments"
    - "on the benefit of automated static analysis for small and medium sized software enterprises"
    - "do code clones matter"
    - "an activity based quality model for maintainability"
    - "comparing bug finding tools with reviews and tests"

Connected through hyperedge HE-5 (induced by source paper "towards resolving software quality in use measurement challenges"):
  with members:
    - "thumbs up or thumbs down semantic orientation applied to unsupervised classification of reviews"

Connected through hyperedge HE-6 (induced by source paper "are comprehensive quality models necessary for evaluating software quality"):
  with members:
    - "a bayesian network approach to assess and predict software quality using activity based quality models"
    - "a bayesian network approach to assess and predict software quality using activity based quality models"
    - "tool support for continuous quality control"

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)