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: "on the adoption usage and evolution of kotlin features on android development"
  Abstract: Context: Currently, more than 2 million applications are published on Google Play, the official store of Android applications, which makes the Android platform the largest mobile platform. Although the majority of Android application has been written in Java, since 2017 when Google announced Kotlin as an official programming language of the Android platform, developers have an option of write applications using Kotlin, that combines object-oriented and functional features. #R##N#Objective: The goal of this paper is to understand the usage of Kotlin features. Particularly, we interested in four aspects of features usage: i) which features are adopted, ii) what is the degree of adoption, iii) when these features are added into the Android applications for the first time, iv) which are the features first introduced, and v) how the usage of features evolves along with applications' evolution. #R##N#Method: To analyze the usage of Kotlin features, we inspect the source code of Kotlin application. To study how a feature is used along the life-cycle of a given mobile application, we identify the Kotlin features used on each version of that application. We also compute the moment that each feature is used for the first time. Finally, we identify the evolution trend that better describes that usage of a given feature. #R##N#Results: Our experiment showed that 15 out of 19 features are used on at least 50% of Android applications written in Kotlin. Moreover, we found that type inference, lambda and safe call are the most used features, being found on 98%, 93% and 84% of applications, respectively. Also, we observed that the most used Kotlin features are those first used on Android applications. Finally, we reported that the majority of applications tend to increase the number of instances of 18 out of 19 studied features along with the evolution of Android applications.

Connected through hyperedge HE-1 (induced by source paper "analyzing offline social engagements an empirical study of meetup events related to software development"):
  with members:
    - "an empirical study on quality of android applications written in kotlin language"
    - "deeptest automated testing of deep neural network driven autonomous cars"

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)