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 "towards the quality improvement of cross platform mobile applications"):
  Abstract: During last ten years, the number of smartphones and mobile applications has been constantly growing. Android, iOS and Windows Mobile are three mobile platforms that cover almost all smartphones in the world in 2017. Developing a mobile app involves first to choose the platforms the app will run, and then to develop specific solutions (i.e., native apps) for each chosen platform using platform-related toolkits such as AndroidSDK. Across-platform mobile application is an app that runs on two or more mobile platforms. Several frameworks have been proposed to simplify the development of cross-platform mobile applications and to reduce development and maintenance costs.They are called cross-platform mobile app development frameworks.However, to our knowledge, the life-cycle and the quality of cross-platforms mobile applications built using those frameworks have not been studied in depth. Our main goal is to first study the processes of development and maintenance of mobile applications built using cross-platform mobile app development frameworks, focusing particularly on the bug-fixing activity. Then, we aim at defining tools for automated repairing bugs from cross-platform mobile applications.

Includes members:
  Member "nopol automatic repair of conditional statement bugs in java programs":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "e apr mapping the effectiveness of automated program repair")
  Member "mining software repair models for reasoning on the search space of automated program fixing":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "e apr mapping the effectiveness of automated program repair")
  Member "automatic repair of real bugs an experience report on the defects4j dataset":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a comprehensive study of automatic program repair on the quixbugs benchmark")
  Member "automatically extracting instances of code change patterns with ast analysis":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "analyzing the context of bug fixing changes in the openstack cloud computing platform")

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)