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: "what should developers be aware of an empirical study on the directives of api documentation"
  Abstract: Application Programming Interfaces (API) are exposed to developers in order to reuse software libraries. API directives are natural-language statements in API documentation that make developers aware of constraints and guidelines related to the usage of an API. This paper presents the design and the results of an empirical study on the directives of API documentation of object-oriented libraries. Its main contribution is to propose and extensively discuss a taxonomy of 23 kinds of API directives.

Connected through hyperedge HE-1 (induced by source paper "on using machine learning to identify knowledge in api reference documentation"):
  with members:
    - "sentiment polarity detection for software development"
    - "generalized cross entropy loss for training deep neural networks with noisy labels"
    - "natural language or not nlon a package for software engineering text analysis pipeline"
    - "variants of rmsprop and adagrad with logarithmic regret bounds"
    - "easy over hard a case study on deep learning"
    - "an overview of gradient descent optimization algorithms"
    - "distributed representations of words and phrases and their compositionality"
    - "large scale multi label text classification revisiting neural networks"

Connected through hyperedge HE-2 (induced by source paper "categorizing the content of github readme files"):
  with members:
    - "ontocat automatically categorizing knowledge in api documentation"
    - "chaff from the wheat characterization and modeling of deleted questions on stack overflow"
    - "smote synthetic minority over sampling technique"

Connected through hyperedge HE-3 (induced by source paper "a systematic evaluation of api misuse detectors"):
  with members:
    - "detecting missing method calls as violations of the majority rule"

Connected through hyperedge HE-4 (induced by source paper "a systematic evaluation of static api misuse detectors"):
  with members:
    - "detecting missing method calls as violations of the majority rule"

Connected through hyperedge HE-5 (induced by source paper "an unsupervised approach for discovering relevant tutorial fragments for apis"):
  with members:
    - "a more accurate model for finding tutorial segments explaining apis"

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)