human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "recognizing developers emotions while programming"):
  Abstract: Developers experience a wide range of emotions during programming tasks, which may have an impact on job performance. In this paper, we present an empirical study aimed at (i) investigating the link between emotion and progress, (ii) understanding the triggers for developers' emotions and the strategies to deal with negative ones, (iii) identifying the minimal set of non-invasive biometric sensors for emotion recognition during programming task. Results confirm previous findings about the relation between emotions and perceived productivity. Furthermore, we show that developers' emotions can be reliably recognized using only a wristband capturing the electrodermal activity and heart-related metrics.

Includes members:
  Member "a replication study on code comprehension and expertise using lightweight biometric sensors":
    also connected through other hyperedges:
      (none)
  Member "model evaluation model selection and algorithm selection in machine learning":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a hierarchy of limitations in machine learning")
  Member "the impact of automated parameter optimization on defect prediction models":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "puminer mining security posts from developer question and answer websites with pu learning")
  Member "whom are you going to call determinants of mentions in github discussions":
    also connected through other hyperedges:
      (none)
  Member "emotion detection using noninvasive low cost sensors":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "classification of cognitive load and expertise for adaptive simulation using deep multitask learning")
  Member "mining valence arousal and dominance possibilities for detecting burnout and productivity":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "time pressure in software engineering a systematic review")
  Member "deep feelings a massive cross lingual study on the relation between emotions and virality":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "depechemood a bilingual emotion lexicon built through simple yet powerful techniques")

Question: Please tell me which class the source paper 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)