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: "using models at runtime to address assurance for self adaptive systems"
  Abstract: A self-adaptive software system modifies its behavior at runtime in response to changes within the system or in its execution environment. The fulfillment of the system requirements needs to be guaranteed even in the presence of adverse conditions and adaptations. Thus, a key challenge for self-adaptive software systems is assurance. Traditionally, confidence in the correctness of a system is gained through a variety of activities and processes performed at development time, such as design analysis and testing. In the presence of selfadaptation, however, some of the assurance tasks may need to be performed at runtime. This need calls for the development of techniques that enable continuous assurance throughout the software life cycle. Fundamental to the development of runtime assurance techniques is research into the use of models at runtime (M@RT). This chapter explores the state of the art for usingM@RT to address the assurance of self-adaptive software systems. It defines what information can be captured by M@RT, specifically for the purpose of assurance, and puts this definition into the context of existing work. We then outline key research challenges for assurance at runtime and characterize assurance methods. The chapter concludes with an exploration of selected application areas where M@RT could provide significant benefits beyond existing assurance techniques for adaptive systems.

Connected through hyperedge HE-1 (induced by source paper "activforms a model based approach to engineer self adaptive systems"):
  with members:
    - "perpetual assurances for self adaptive systems"
    - "model driven engineering of self adaptive software with eurema"
    - "statistical model checking an overview"

Connected through hyperedge HE-2 (induced by source paper "perpetual assurances for self adaptive systems"):
  with members:
    - "model driven engineering of self adaptive software with eurema"
    - "statistical model checking an overview"

Connected through hyperedge HE-3 (induced by source paper "formal specification and verification of autonomous robotic systems a survey"):
  with members:
    - "modular verification of vehicle platooning with respect to decisions space and time"
    - "automating verification of state machines with reactive designs and isabelle utp"
    - "robotics and integrated formal methods necessity meets opportunity"
    - "formal verification of obstacle avoidance and navigation of ground robots"
    - "developing bug free machine learning systems with formal mathematics"
    - "a rational agent controlling an autonomous vehicle implementation and formal verification"
    - "a stochastically verifiable autonomous control architecture with reasoning"
    - "towards the verification of safety critical autonomous systems in dynamic environments"

Connected through hyperedge HE-4 (induced by source paper "robotics and integrated formal methods necessity meets opportunity"):
  with members:
    - "modular verification of vehicle platooning with respect to decisions space and time"
    - "a stochastically verifiable autonomous control architecture with reasoning"
    - "towards the specification of adaptive robotic systems"
    - "towards the verification of safety critical autonomous systems in dynamic environments"
    - "an assurance based approach to verification and validation of human robot teams"
    - "formal verification of autonomous vehicle platooning"
    - "contribution to the formal specification and verification of a multi agent robotic system"
    - "symmetry reduction enables model checking of more complex emergent behaviours of swarm navigation algorithms"

Connected through hyperedge HE-5 (induced by source paper "engineering trustworthy self adaptive software with dynamic assurance cases"):
  with members:
    - "parameter synthesis for markov models faster than ever"

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)