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 "detecting and summarizing gui changes in evolving mobile apps"):
  Abstract: Mobile applications have become a popular software development domain in recent years due in part to a large user base, capable hardware, and accessible platforms. However, mobile developers also face unique challenges, including pressure for frequent releases to keep pace with rapid platform evolution, hardware iteration, and user feedback. Due to this rapid pace of evolution, developers need automated support for documenting the changes made to their apps in order to aid in program comprehension. One of the more challenging types of changes to document in mobile apps are those made to the graphical user interface (GUI) due to its abstract, pixel-based representation. In this paper, we present a fully automated approach, called GCAT, for detecting and summarizing GUI changes during the evolution of mobile apps. GCAT leverages computer vision techniques and natural language generation to accurately and concisely summarize changes made to the GUI of a mobile app between successive commits or releases. We evaluate the performance of our approach in terms of its precision and recall in detecting GUI changes compared to developer specified changes, and investigate the utility of the generated change reports in a controlled user study. Our results indicate that GCAT is capable of accurately detecting and classifying GUI changes - outperforming developers - while providing useful documentation.

Includes members:
  Member "automated reporting of gui design violations for mobile apps":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "guicomp a gui design assistant with real time multi faceted feedback")
  Member "machine learning based prototyping of graphical user interfaces for mobile apps":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "guicomp a gui design assistant with real time multi faceted feedback")
  Member "how do developers test android applications":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "to the attention of mobile software developers guess what test your app")
  Member "crashscope a practical tool for automated testing of android applications":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "assessing the quality of the steps to reproduce in bug reports")
  Member "automatically discovering reporting and reproducing android application crashes":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "assessing the quality of the steps to reproduce in bug reports")
  Member "automated test input generation for android are we there yet":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "dl droid deep learning based android malware detection using real devices")

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)