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 "an analysis of the search spaces for generate and validate patch generation systems"):
  Abstract: We present the first systematic analysis of the characteristics of patch search spaces for automatic patch generation systems. We analyze the search spaces of two current state-of-the-art systems, SPR and Prophet, with 16 different search space configurations. Our results are derived from an analysis of 1104 different search spaces and 768 patch generation executions. Together these experiments consumed over 9000 hours of CPU time on Amazon EC2. #R##N#The analysis shows that 1) correct patches are sparse in the search spaces (typically at most one correct patch per search space per defect), 2) incorrect patches that nevertheless pass all of the test cases in the validation test suite are typically orders of magnitude more abundant, and 3) leveraging information other than the test suite is therefore critical for enabling the system to successfully isolate correct patches. #R##N#We also characterize a key tradeoff in the structure of the search spaces. Larger and richer search spaces that contain correct patches for more defects can actually cause systems to find fewer, not more, correct patches. We identify two reasons for this phenomenon: 1) increased validation times because of the presence of more candidate patches and 2) more incorrect patches that pass the test suite and block the discovery of correct patches. These fundamental properties, which are all characterized for the first time in this paper, help explain why past systems often fail to generate correct patches and help identify challenges, opportunities, and productive future directions for the field.

Includes members:
  Member "mining software repair models for reasoning on the search space of automated program fixing":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "e apr mapping the effectiveness of automated program repair")
  Member "automatic repair of real bugs an experience report on the defects4j dataset":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a comprehensive study of automatic program repair on the quixbugs benchmark")
  Member "a critical review of automatic patch generation learned from human written patches essay on the problem statement and the evaluation of automatic software repair":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "ifixr bug report driven program repair")
  Member "do the fix ingredients already exist an empirical inquiry into the redundancy assumptions of program repair approaches":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "sorting and transforming program repair ingredients via deep learning code similarities")
  Member "automatic repair of buggy if conditions and missing preconditions with smt":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "automatic software repair a bibliography")
  Member "automated fixing of programs with contracts":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "validation of automatically generated patches an appetizer")
  Member "cost aware automatic program repair":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "automatic software repair a bibliography")
  Member "minthint automated synthesis of repair hints":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "learning to generate corrective patches using neural machine translation")

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)