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: "quantitative analysis of probabilistic models of software product lines with statistical model checking"
  Abstract: We investigate the suitability of statistical model checking techniques for analysing quantitative prop-erties of software product line models with probabilistic aspects.  For this purpose, we enrich thefeature-oriented language FLANwith action rates, which specify the likelihood of exhibiting par-ticular behaviour or of installing features at a specific moment or in a specific order.  The enrichedlanguage  (called  PFLAN)  allows  us  to  specify  models  of  software  product  lines  with  probabilis-tic  configurations  and  behaviour,  e.g.  by  considering  a  PFLANsemantics  based  on  discrete-timeMarkov chains.  The Maude implementation of PFLANis combined with the distributed statisticalmodel checker MultiVeStA to perform quantitative analyses of a simple product line case study. Thepresented analyses include the likelihood of certain behaviour of interest (e.g. product malfunction-ing) and the expected average cost of products

Connected through hyperedge HE-1 (induced by source paper "a framework for quantitative modeling and analysis of highly re configurable systems"):
  with members:
    - "towards a feature mu calculus targeting spl verification"
    - "cpachecker a tool for configurable software verification"

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)