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: "adaptation and abstract runtime models"
  Abstract: Runtime adaptability is often a crucial requirement for today's complex software systems. Several approaches use an architectural model as a runtime representation of a managed system for monitoring, reasoning and performing adaptation. To ease the causal connection between a system and a model, these models are often closely related to the implementation and at a rather low level of abstraction. This makes them as complex as the implementation and it impedes reusability and extensibility of autonomic managers. Moreover, the models often do not cover different concerns, like security or performance, and therefore they do not support several self-management capabilities at once.   In this paper we propose a model-driven approach that provides multiple architectural runtime models at different levels of abstraction as a basis for adaptation. Each runtime model abstracts from the underlying system and platform leveraging reusability and extensibility of managers that work on these models. Moreover, each model focuses on a specific concern which simplifies the work of autonomic managers. The different models are maintained automatically at runtime using model-driven engineering techniques that also reduce development efforts. Our approach has been implemented for the broadly adopted Enterprise Java Beans component standard and its application is presented in a self-healing scenario requiring structural adaptation.

Connected through hyperedge HE-1 (induced by source paper "taming uncertainty in the assurance process of self adaptive systems a goal oriented approach"):
  with members:
    - "a learning approach to enhance assurances for real time self adaptive systems"

Connected through hyperedge HE-2 (induced by source paper "mrubis an exemplar for model based architectural self healing and self optimization"):
  with members:
    - "efficient utility driven self healing employing adaptation rules for large dynamic architectures"
    - "a testing scheme for self adaptive software systems with architectural runtime models"
    - "model driven engineering of self adaptive software with eurema"
    - "model driven architectural monitoring and adaptation for autonomic systems"

Connected through hyperedge HE-3 (induced by source paper "efficient utility driven self healing employing adaptation rules for large dynamic architectures"):
  with members:
    - "towards linking adaptation rules to the utility function for dynamic architectures"
    - "model driven architectural monitoring and adaptation for autonomic systems"
    - "model driven development of complex software a research roadmap"

Connected through hyperedge HE-4 (induced by source paper "model driven engineering of self adaptive software with eurema"):
  with members:
    - "a language for feedback loops in self adaptive systems executable runtime megamodels"
    - "requirements and assessment of languages and frameworks for adaptation models"
    - "the role of models and megamodels at runtime"
    - "model driven development of complex software a research roadmap"

Connected through hyperedge HE-5 (induced by source paper "a framework for enhancing performance and handling run time uncertainty in self adaptive systems"):
  with members:
    - "quality aware approach for engineering self adaptive software systems"

Connected through hyperedge HE-6 (induced by source paper "a language for feedback loops in self adaptive systems executable runtime megamodels"):
  with members:
    - "requirements and assessment of languages and frameworks for adaptation models"
    - "the role of models and megamodels at runtime"

Connected through hyperedge HE-7 (induced by source paper "requirements and assessment of languages and frameworks for adaptation models"):
  with members:
    - "the role of models and megamodels at runtime"

Connected through hyperedge HE-8 (induced by source paper "the role of models and megamodels at runtime"):
  with members:
    - "model driven architectural monitoring and adaptation for autonomic systems"
    - "model driven development of complex software a research roadmap"

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)