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 "validation of automatically generated patches an appetizer"):
  Abstract: In the context of test case based automated program repair (APR), the research community call the patches that pass all the test cases but fail to actually fix the bug test case overfitted patches. Currently, overfitted patches has to be manually inspected by the users. Being a labor intensive activity that hinders widespread adoption of APR tools, automatic validation of APR-generated patches has been the topic of research in recent years. In this paper, we point out the limitations of the existing techniques/methodologies that call for further research, and introduce two promising directions toward effective automatic patch validation: (1) motivated by the relative effectiveness of anti-patterns, we propose to use statistical techniques to avoid the uncomputability of applying some of the anti-pattern rules and automate the technique. Our results show that we achieve at least 57% precision. (2) We present a proposal for a semi-automatic technique that helps the programmers in finding properties of the patched methods and stress testing the patches based on those properties so as to filter out overfitted ones as many as possible.

Includes members:
  Member "metamorphic testing a new approach for generating next test cases":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "object based metamorphic testing through image structuring")
  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 "getafix learning to fix bugs automatically":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "adversarial examples for models of code")
  Member "predicting metamorphic relation for matrix calculation programs":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "fault detection effectiveness of metamorphic relations developed for testing supervised classifiers")
  Member "using semi supervised learning for predicting metamorphic relations":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "fault detection effectiveness of metamorphic relations developed for testing supervised classifiers")
  Member "how to design a program repair bot insights from the repairnator project":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "ifixr bug report driven 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)