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 "ge852 a dataset of 852 game engines"):
  Abstract: Game engines provide a platform for developers to build games with an interface tailored to handle the complexity during game development. To reduce effort and improve quality of game development, there is a strong need to understand and analyze the quality of game engines and their various aspects such as API usability, code quality, code reuse and so on. To the best our knowledge, we are not aware of any dataset that caters to game engines in the literature. To this end, we present GE852, a dataset of 852 game engine repositories mined from GitHub in two languages, namely Java and C++. The dataset contains metadata of all the mined repositories including commits, pull requests, issues and so on. We believe that our dataset can lay foundation for empirical investigation in the area of game engines.

Includes members:
  Member "computer games are serious business and so is their quality particularities of software testing in game development from the perspective of practitioners":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "enhancing the monte carlo tree search algorithm for video game testing")
  Member "game development software engineering process life cycle a systematic review":
    also connected through other hyperedges:
      (none)
  Member "parameter free probabilistic api mining across github":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "boosting api recommendation with implicit feedback")
  Member "an insight into the pull requests of github":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "which pull requests get accepted and why a study of popular npm packages")

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)