human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "a snowballing literature study on test amplification"
  Abstract: The adoption of agile approaches has put an increased emphasis on testing,#R##N#resulting in extensive test suites. These suites include a large number of tests, in which#R##N#developers embed knowledge about meaningful input data and expected properties as oracles.#R##N#This article surveys works that exploit this knowledge to enhance manually written tests with#R##N#respect to an engineering goal (e.g., improve coverage or refine fault localization). While these#R##N#works rely on various techniques and address various goals, we believe they form an emerging#R##N#and coherent field of research, which we coin “test amplification”. We devised a first set of#R##N#papers from DBLP, searching for all papers containing "test" and "amplification" in their#R##N#title. We reviewed the 70 papers in this set and selected the 4 papers that fit the definition#R##N#of test amplification. We use them as the seeds for our snowballing study, and systematically#R##N#followed the citation graph. This study is the first that draws a comprehensive picture of the#R##N#different engineering goals proposed in the literature for test amplification. We believe that#R##N#this survey will help researchers and practitioners entering this new field to understand more#R##N#quickly and more deeply the intuitions, concepts and techniques used for test amplification.

Connected through hyperedge HE-1 (induced by source paper "suggestions on test suite improvements with automatic infection and propagation analysis"):
  with members:
    - "automatic test improvement with dspot a study with ten mature open source projects"
    - "a comprehensive study of pseudo tested methods"
    - "is the stack distance between test case and method correlated with test effectiveness"
    - "how to design a program repair bot insights from the repairnator project"
    - "will my tests tell me if i break this code"

Connected through hyperedge HE-2 (induced by source paper "automatic test improvement with dspot a study with ten mature open source projects"):
  with members:
    - "dspot test amplification for automatic assessment of computational diversity"
    - "test case purification for improving fault localization"
    - "learning natural coding conventions"

Question: Please tell me which class the center node 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)