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 quality model for actionable analytics in rapid software development"
  Abstract: Background: Accessing relevant data on the software product, process, and usage as well as integrating and analysing it is crucial to get reliable and timely actionable insights for continuously managing software quality in Rapid Software Development (RSD). In this context, several software analytics tools have been developed in recent years. However, there is a lack of explainable software analytics that software practitioners trust. Aims: We aimed at creating a quality model -the Q-Rapids quality model- for actionable analytics in RSD, implementing it, and evaluating its understandability and relevance. Method: We performed workshops at four companies for determining relevant metrics as well as product and process factors. We also elicited how these metrics and factors are used and interpreted by practitioners when making decisions in RSD. We specified the Q-Rapids quality model by comparing and integrating the four workshops' results. Then, we implemented the Q-Rapids tool for supporting the usage of the Q-Rapids quality model as well as the gathering, integration, and analysis of the required data. Afterwards we installed the Q-Rapids tool in the four companies and performed semi-structured interviews with eight product owners to evaluate the understandability and relevance of the Q-Rapids quality model. Results: The participants of the evaluation perceive the metrics as well as product and process factors of the Q-Rapids quality model as understandable. Also, they consider the Q-Rapids quality model relevant for identifying product and process deficiencies (e.g., blocking code situations). Conclusions: By means of heterogeneous data sources, the Q-Rapids quality model is an enabler for detecting manually time-consuming problems and adding transparency among the system, process, and usage perspectives.

Connected through hyperedge HE-1 (induced by source paper "practical experiences and value of applying software analytics to manage quality"):
  with members:
    - "the unfulfilled potential of data driven decision making in agile software development"

Connected through hyperedge HE-2 (induced by source paper "towards automated data integration in software analytics"):
  with members:
    - "operationalised product quality models and assessment"
    - "software analytics to software domains a systematic literature review"

Connected through hyperedge HE-3 (induced by source paper "software process measurement and related challenges in agile software development a multiple case study"):
  with members:
    - "on the current measurement practices in agile software 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)