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: "software based fault recovery via adaptive diversity for cots multi core processors"
  Abstract: The ever growing demands of embedded systems to satisfy high computing performance and cost efficiency lead to the trend of using commercial off-the-shelf hardware. However, due to their highly integrated design they are becoming increasingly susceptible to hardware errors (e.g. caused by radiation-induced soft-errors or wear-out effects). Since such faults cannot be fully prevented, systems have to cope with their effects. At the same time there is the trend of multi-core processors in embedded systems. Approaches to achieve fault tolerance by using the multiple cores to establish redundancy have been presented in literature. However, typically only homogeneous redundancy techniques are considered to tolerate soft errors. However, there is a lack of appropriate reaction mechanisms for restoring the system in case of permanent hardware faults. #R##N#Here, we propose the basic idea of enhancing multi-core redundancy techniques with a cost-efficient automated introduction of diversity in the executed software replicas. Recently, these automated software diversity techniques have attracted attention in the security domain. We propose to use these techniques to recover from permanent hardware faults. This is achieved by adapting the software execution in such a way that permanent faults are mitigated.

Connected through hyperedge HE-1 (induced by source paper "dynamic fault tolerance through resource pooling"):
  with members:
    - "preliminary performance estimations and benchmark results for a software based fault tolerance approach aboard miniaturized satellite computers"
    - "bringing fault tolerant gigahertz computing to space a multi stage software side fault tolerance approach for miniaturized spacecraft"

Connected through hyperedge HE-2 (induced by source paper "bringing fault tolerant gigahertz computing to space a multi stage software side fault tolerance approach for miniaturized spacecraft"):
  with members:
    - "preliminary performance estimations and benchmark results for a software based fault tolerance approach aboard miniaturized satellite computers"
    - "holistic approach for fault tolerant network on chip based many core systems"

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)