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 "astor exploring the design space of generate and validate program repair beyond genprog"):
  Abstract: Abstract   This article contributes to defining the design space of program repair. Repair approaches can be loosely characterized according to the main design philosophy, in particular “generate- and-validate” and synthesis-based approaches. Each of those repair approaches is a point in the design space of program repair. Our goal is to facilitate the design, development and evaluation of repair approaches by providing a framework that: a) contains components commonly present in most approaches, b) provides built-in implementations of existing repair approaches. This paper presents a Java framework named Astor that focuses on the design space of generate-and-validate repair approaches. The key novelty of Astor is to provides explicit extension points to explore the design space of program repair. Thanks to those extension points, researchers can both reuse existing program repair components and implement new ones. Astor includes 6 unique implementations of repair approaches in Java, including GenProg for Java called jGenProg. Researchers have already defined new approaches over Astor. The implementations of program repair approaches built already available in Astor are capable of repairing, in total, 98 real bugs from 5 large Java programs. Astor code is publicly available on Github:  https://github.com/SpoonLabs/astor .

Includes members:
  Member "a comprehensive study of automatic program repair on the quixbugs benchmark":
    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 "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-2 (induced by source paper "e apr mapping the effectiveness of automated 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-3 (induced by source paper "e apr mapping the effectiveness of automated program repair")
  Member "ultra large repair search space with automatically mined templates the cardumen mode of astor":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "e apr mapping the effectiveness of automated program repair")
  Member "arja automated repair of java programs via multi objective genetic programming":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "e apr mapping the effectiveness of automated program repair")
  Member "an empirical analysis of the influence of fault space on search based automated program repair":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "tbar revisiting template based automated program repair")
  Member "identifying patch correctness in test based program repair":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "e apr mapping the effectiveness of automated program repair")
  Member "nopol automatic repair of conditional statement bugs in java programs":
    also connected through other hyperedges:
      - Hyperedge HE-8 (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)