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: "coming a tool for mining change pattern instances from git commits"
  Abstract: Software repositories such as Git have become a relevant source of information for software engineer researcher. For instance, the detection of Commits that fulfill a given criterion (e.g., bugfixing commits) is one of the most frequent tasks done to understand the software evolution. However, to our knowledge, there is not open-source tools that, given a Git repository, returns all the instances of a given change pattern. In this paper we present Coming, a tool that takes an input a Git repository and mines instances of change patterns on each commit. For that, Coming computes fine-grained changes between two consecutive revisions, analyzes those changes to detect if they correspond to an instance of a change pattern (specified by the user using XML), and finally, after analyzing all the commits, it presents a) the frequency of code changes and b) the instances found on each commit. We evaluate Coming on a set of 28 pairs of revisions from Defects4J, finding instances of change patterns that involve If conditions on 26 of them.

Connected through hyperedge HE-1 (induced by source paper "automated classification of overfitting patches with statically extracted code features"):
  with members:
    - "learning the relation between code features and code transforms with structured prediction"
    - "a comprehensive study of automatic program repair on the quixbugs benchmark"
    - "automated patch assessment for program repair at scale"
    - "alleviating patch overfitting with automatic test generation a study of feasibility and effectiveness for the nopol repair system"
    - "empirical review of java program repair tools a large scale experiment on 2 141 bugs and 23 551 repair attempts"
    - "on reliability of patch correctness assessment"
    - "automatic software repair a bibliography"
    - "identifying patch correctness in test based program repair"

Connected through hyperedge HE-2 (induced by source paper "getafix learning to fix bugs automatically"):
  with members:
    - "learning to represent edits"
    - "deepbugs a learning approach to name based bug detection"
    - "learning quick fixes from code repositories"
    - "semantic code repair using neuro symbolic transformation networks"
    - "a survey of machine learning for big code and naturalness"
    - "learning syntactic program transformations from examples"
    - "mining software repair models for reasoning on the search space of automated program fixing"
    - "npefix automatic runtime repair of null pointer exceptions in java"

Connected through hyperedge HE-3 (induced by source paper "on the adoption usage and evolution of kotlin features on android development"):
  with members:
    - "characterizing the usage evolution and impact of java annotations in practice"
    - "an empirical study on quality of android applications written in kotlin language"

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)