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: "trends in topics in software engineering conferences 1992 to 2016"
  Abstract: Context: The very rapid pace of change in Software Engineering(SE) research makes it very difficult to gain an overview of the entire field or track trends in specific areas of SE. Objective: Develop a very rapid "overview tool" that can help humans understand how topics are evolving in SE. Method: Perform a topic modelling analysis using Tuned Latent Dirichlet Allocation of abstracts and titles of 15121 papers over the last 25 years. Results: (a)Eleven topics are identified as the dominant themes in modern SE. (b)Publication trends for topics in SE are not static; in fact, some of them become less prominent over time while others become very prominent indeed. (c) Clustering conferences on the topics they usually publish, it is observed that SE conferences fall into six large groups. (d) Considering that the Program Committee (PC) constitutes to less than a quarter of authors with published papers, the topics of papers published by the PC almost exactly match with the topics seen in all the published papers. (e) Successful authors in SE explore a diverse range of topics rather than focus on a niche set. Conclusion: Based on the results, recommendations are offered on how to(a)plan on an individual's research career, (b) intelligently make new conferences or merge older ones,(c) better recruit PCs & (d) encourage a broader range of topics at SE conferences.

Connected through hyperedge HE-1 (induced by source paper "replication can improve prior results a github study of pull request acceptance"):
  with members:
    - "tuning for software analytics"
    - "continuous integration in a social coding world empirical evidence from github"
    - "an insight into the pull requests of github"

Connected through hyperedge HE-2 (induced by source paper "bad smells in software analytics papers"):
  with members:
    - "the impact of automated parameter optimization on defect prediction models"
    - "is better data better than better data miners on the benefits of tuning smote for defect prediction"
    - "what is wrong with topic modeling and how to fix it using search based software engineering"
    - "data driven search based software engineering"
    - "we don t need another hero the impact of heroes on software development"
    - "revisiting unsupervised learning for defect prediction"
    - "what is the connection between issues bugs and enhancements lessons learned from 800 software projects"
    - "easy over hard a case study on deep learning"

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)