human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "bayesian data analysis in empirical software engineering research"):
  Abstract: Statistics comes in two main flavors: frequentist and Bayesian. For historical and technical reasons, frequentist statistics have traditionally dominated empirical data analysis, and certainly remain prevalent in empirical software engineering. This situation is unfortunate because frequentist statistics suffer from a number of shortcomings---such as lack of flexibility and results that are unintuitive and hard to interpret---that curtail their effectiveness when dealing with the heterogeneous data that is increasingly available for empirical analysis of software engineering practice. #R##N#In this paper, we pinpoint these shortcomings, and present Bayesian data analysis techniques that work better on the same data---as they can provide clearer results that are simultaneously robust and nuanced. After a short, high-level introduction to the basic tools of Bayesian statistics, our presentation targets the reanalysis of two empirical studies targeting data about the effectiveness of automatically generated tests and the performance of programming languages. By contrasting the original frequentist analysis to our new Bayesian analysis, we demonstrate concrete advantages of using Bayesian techniques, and we advocate a prominent role for them in empirical software engineering research and practice.

Includes members:
  Member "bayesian hierarchical modelling for tailoring metric thresholds":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "arguing practical significance in software engineering using bayesian data analysis")
  Member "classifying developers into core and peripheral an empirical study on count and network metrics":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a systematic mapping study of developer social network research")
  Member "bayesian statistics in software engineering practical guide and case studies":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "arguing practical significance in software engineering using bayesian data analysis")
  Member "a comparative study of programming languages in rosetta code":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "gpu computing with python performance energy efficiency and usability")

Question: Please tell me which class the source paper 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)