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 "automated patch assessment for program repair at scale"):
  Abstract: In this paper, we do automatic correctness assessment for patches generated by program repair techniques. We consider the human patch as ground truth oracle and randomly generate tests based on it, i.e., Random testing with Ground Truth -- RGT. We build a curated dataset of 638 patches for Defects4J generated by 14 state-of-the-art repair systems. We evaluate automated patch assessment on our dataset which is, to our knowledge, the largest ever. The results of this study are novel and significant. First, we show that 10 patches from previous research classified as correct by their respective authors are actually overfitting. Second, we demonstrate that the human patch is not the perfect ground truth. Third, we precisely measure the trade-off between the time spent for test generation and the benefits for automated patch assessment at scale.

Includes members:
  Member "how different is it between machine generated and developer provided patches an empirical study on the correct patches generated by automated program repair techniques":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "e apr mapping the effectiveness of automated program repair")
  Member "a comprehensive study of automatic program repair on the quixbugs benchmark":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "encore ensemble learning using convolution neural machine translation for automatic program repair")
  Member "validation of automatically generated patches an appetizer":
    also connected through other hyperedges:
      (none)
  Member "sequencer sequence to sequence learning for end to end program repair":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "big code big vocabulary open vocabulary models for source code")
  Member "bears an extensible java bug benchmark for automatic program repair studies":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "e apr mapping the effectiveness of automated program repair")
  Member "sorting and transforming program repair ingredients via deep learning code similarities":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "checking smart contracts with structural code embedding")
  Member "alleviating patch overfitting with automatic test generation a study of feasibility and effectiveness for the nopol repair system":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "e apr mapping the effectiveness of automated program repair")
  Member "empirical review of java program repair tools a large scale experiment on 2 141 bugs and 23 551 repair attempts":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "e apr mapping the effectiveness of automated program repair")

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)