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 novel approach for estimating truck factors"
  Abstract: Truck Factor (TF) is a metric proposed by the agile community as a tool to identify concentration of knowledge in software development environments. It states the minimal number of developers that have to be hit by a truck (or quit) before a project is incapacitated. In other words, TF helps to measure how prepared is a project to deal with developer turnover. Despite its clear relevance, few studies explore this metric. Altogether there is no consensus about how to calculate it, and no supporting evidence backing estimates for systems in the wild. To mitigate both issues, we propose a novel (and automated) approach for estimating TF-values, which we execute against a corpus of 133 popular project in GitHub. We later survey developers as a means to assess the reliability of our results. Among others, we find that the majority of our target systems (65%) have TF ≤ 2. Surveying developers from 67 target systems provides confidence towards our estimates; in 84% of the valid answers we collect, developers agree or partially agree that the TF's authors are the main authors of their systems; in 53% we receive a positive or partially positive answer regarding our estimated truck factors.

Connected through hyperedge HE-1 (induced by source paper "refactoring graphs assessing refactoring over time"):
  with members:
    - "what s in a github star understanding repository starring practices in a social coding platform"
    - "refdiff detecting refactorings in version histories"
    - "understanding the factors that impact the popularity of github repositories"
    - "why we refactor confessions of github contributors"
    - "on the naturalness of buggy code"

Connected through hyperedge HE-2 (induced by source paper "on the abandonment and survival of open source projects an empirical investigation"):
  with members:
    - "why do developers take breaks from contributing to oss projects a preliminary analysis"
    - "why we engage in floss answers from core developers"
    - "an empirical comparison of developer retention in the rubygems and npm software ecosystems"
    - "why modern open source projects fail"

Connected through hyperedge HE-3 (induced by source paper "identifying experts in software libraries and frameworks among github users"):
  with members:
    - "towards a theory of software development expertise"
    - "hyperparameter search in machine learning"
    - "smote synthetic minority over sampling technique"

Connected through hyperedge HE-4 (induced by source paper "why do developers take breaks from contributing to oss projects a preliminary analysis"):
  with members:
    - "an empirical comparison of developer retention in the rubygems and npm software ecosystems"
    - "why modern open source projects fail"

Connected through hyperedge HE-5 (induced by source paper "continuous integration theater"):
  with members:
    - "building a collaborative culture a grounded theory of well succeeded devops adoption in practice"
    - "continuous integration in a social coding world empirical evidence from github"

Connected through hyperedge HE-6 (induced by source paper "what s in a github star understanding repository starring practices in a social coding platform"):
  with members:
    - "how do developers promote open source projects"
    - "why modern open source projects fail"
    - "predicting the popularity of github repositories"
    - "understanding the factors that impact the popularity of github repositories"
    - "why we refactor confessions of github contributors"
    - "dynamical classes of collective attention in twitter"
    - "robust classification for imprecise environments"

Connected through hyperedge HE-7 (induced by source paper "why we engage in floss answers from core developers"):
  with members:
    - "why and how java developers break apis"
    - "towards an interdisciplinary socio technical analysis of software ecosystem health"
    - "why modern open source projects fail"
    - "classifying developers into core and peripheral an empirical study on count and network metrics"
    - "understanding the factors that impact the popularity of github repositories"
    - "why we refactor confessions of github contributors"

Connected through hyperedge HE-8 (induced by source paper "why modern open source projects fail"):
  with members:
    - "predicting the popularity of github repositories"
    - "understanding the factors that impact the popularity of github repositories"
    - "why we refactor confessions of github contributors"

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)