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: "agile metrics for a university software engineering course"
  Abstract: Teaching agile software development by pairing lectures with hands-on projects has become the norm. This approach poses the problem of grading and evaluating practical project work as well as process conformance during development. Yet, few best practices exist for measuring the success of students in implementing agile practices. Most university courses rely on observations during the course or final oral exams. In this paper, we propose a set of metrics which give insights into the adherence to agile practices in teams. The metrics identify instances in development data, e.g. commits or user stories, where agile processes were not followed. The identified violations can serve as starting points for further investigation and team discussions. With contextual knowledge of the violation, the executed process or the metric itself can be refined. The metrics reflect our experiences with running a software engineering course over the last five years. They measure aspects which students frequently have issues with and that diminish process adoption and student engagement. We present the proposed metrics, which were tested in the latest course installment, alongside tutoring, lectures, and oral exams.

Connected through hyperedge HE-1 (induced by source paper "an additional set of automated eyes chatbots for agile retrospectives"):
  with members:
    - "communication in open source projects end of the e mail era"
    - "beyond surveys analyzing software development artifacts to assess teaching efforts"
    - "how software developers mitigate collaboration friction with chatbots"

Connected through hyperedge HE-2 (induced by source paper "attitudes beliefs and development data concerning agile software development practices"):
  with members:
    - "using experience sampling to link software repositories with emotions and work well being"
    - "beyond surveys analyzing software development artifacts to assess teaching efforts"
    - "how surveys tutors and software help to assess scrum adoption in a classroom software engineering project"

Connected through hyperedge HE-3 (induced by source paper "beyond surveys analyzing software development artifacts to assess teaching efforts"):
  with members:
    - "taking informed action on student activity in moocs"
    - "how surveys tutors and software help to assess scrum adoption in a classroom software engineering project"

Connected through hyperedge HE-4 (induced by source paper "scrum2kanban integrating kanban and scrum in a university software engineering capstone course"):
  with members:
    - "prof ci employing continuous integration services and github workflows to teach test driven development"

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)