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: "model driven architectural monitoring and adaptation for autonomic systems"
  Abstract: Architectural monitoring and adaptation allows self-management capabilities of autonomic systems to realize more powerful adaptation steps, which observe and adjust not only parameters but also the software architecture. However, monitoring as well as adaptation of the architecture of a running system in addition to the parameters are considerably more complex and only rather limited and costly solutions are available today. In this paper we propose a model-driven approach to ease the development of architectural monitoring and adaptation for autonomic systems. Using meta models and model transformation techniques, we were able to realize an incremental synchronization between the run-time system and models for different self-management activities. The synchronization might be triggered when needed and therefore the activities can operate concurrently.

Connected through hyperedge HE-1 (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"
    - "adaptation and abstract runtime models"

Connected through hyperedge HE-2 (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"
    - "adaptation and abstract runtime models"
    - "model driven development of complex software a research roadmap"

Connected through hyperedge HE-3 (induced by source paper "a testing scheme for self adaptive software systems with architectural runtime models"):
  with members:
    - "model driven engineering of self adaptive software with eurema"

Connected through hyperedge HE-4 (induced by source paper "the role of models and megamodels at runtime"):
  with members:
    - "adaptation and abstract runtime models"
    - "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)