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 "attention please consider mockito when evaluating newly proposed automated program repair techniques"):
  Abstract: Automated program repair (APR) has attracted widespread attention in recent years with substantial techniques being proposed. Meanwhile, a number of benchmarks have been established for evaluating the performances of APR techniques, among which Defects4J is one of the most wildly used benchmark. However, bugs in Mockito, a project augmented in a later-version of Defects4J, do not receive much attention by recent researches. In this paper, we aim at investigating the necessity of considering Mockito bugs when evaluating APR techniques. Our findings show that: 1) Mockito bugs are not more complex for repairing compared with bugs from other projects; 2) the bugs repaired by the state-of-the-art tools share the same repair patterns compared with those patterns required to repair Mockito bugs; however, 3) the state-of-the-art tools perform poorly on Mockito bugs (Nopol can only correctly fix one bug while SimFix and CapGen cannot fix any bug in Mockito even if all the buggy locations have been exposed). We conclude from these results that existing APR techniques may be overfitting to their evaluated subjects and we should consider Mockito, or even more bugs from other projects, when evaluating newly proposed APR techniques. We further find out a unique repair action required to repair Mockito bugs named external package addition. Importing the external packages from the test code associated with the source code is feasible for enlarging the search space and this action can be augmented with existing repair actions to advance existing techniques.

Includes members:
  Member "automatic repair of real bugs in java a large scale experiment on the defects4j dataset":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "e apr mapping the effectiveness of automated program repair")
  Member "multi location program repair strategies learned from past successful experience":
    also connected through other hyperedges:
      (none)
  Member "you cannot fix what you cannot find an investigation of fault localization bias in benchmarking automated program repair systems":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "explaining deep neural networks using spectrum based fault localization")
  Member "dissection of a bug dataset anatomy of 395 patches from defects4j":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "encore ensemble learning using convolution neural machine translation for automatic 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-4 (induced by source paper "tbar revisiting template based automated program repair")
  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 "dynamic patch generation for null pointer exceptions using metaprogramming":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "e apr mapping the effectiveness of automated program repair")
  Member "precise condition synthesis for program repair":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "encore ensemble learning using convolution neural machine translation for automatic 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)