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 "mining fix patterns for findbugs violations"):
  Abstract: In this paper, we first collect and track large-scale fixed and unfixed violations across revisions of software. It turns out that a small number of violation types are responsible for the majority of recurrently occurring violations and they are fixed with similar code changes. To automatically identify patterns in violations and their fixes, we propose an approach that utilizes convolutional neural networks and clustering. We then evaluate the usefulness of the identified fix patterns by applying them to unfixed violations. The results show that actual developers accepted and merged 69 of 116 fixes generated from the fix patterns. From the study, we observe the recurrences of fixed violations that may help prioritize violations, identify fix patterns from existing fixed violations, and resolve similar violations existing in the wild.

Includes members:
  Member "fixminer mining relevant fix patterns for automated program repair":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "encore ensemble learning using convolution neural machine translation for automatic program repair")
  Member "automatic repair of real bugs in java a large scale experiment on the defects4j dataset":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "e apr mapping the effectiveness of automated program repair")
  Member "learning quick fixes from code repositories":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "tbar revisiting template based automated program repair")
  Member "automatically generating commit messages from diffs using neural machine translation":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "automating app review response generation")
  Member "nopol automatic repair of conditional statement bugs in java programs":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "e apr mapping the effectiveness of automated program repair")
  Member "a survey of machine learning for big code and naturalness":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "on the convergence of artificial intelligence and distributed ledger technology a scoping review and future research agenda")
  Member "cross language learning for program classification using bilateral tree based convolutional neural networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "an evalutation of programming language models performance on software defect detection")
  Member "learning syntactic program transformations from examples":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "classcode an interactive teaching and learning environment for programming education in classrooms")

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)