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: "tailored source code transformations to synthesize computationally diverse program variants"
  Abstract: The predictability of program execution provides attackers a rich source of knowledge who can exploit it to spy or remotely control the program. Moving target defense ad- dresses this issue by constantly switching between many di- verse variants of a program, which reduces the certainty that an attacker can have about the program execution. The ef- fectiveness of this approach relies on the availability of a large number of software variants that exhibit dierent ex- ecutions. However, current approaches rely on the natural diversity provided by o-the-shelf components, which is very limited. In this paper, we explore the automatic synthe- sis of large sets of program variants, called sosies. Sosies provide the same expected functionality as the original pro- gram, while exhibiting dierent executions. They are said to be computationally diverse. This work addresses two objectives: comparing dierent transformations for increasing the likelihood of sosie synthe- sis (densifying the search space for sosies); demonstrating computation diversity in synthesized sosies. We synthesized 30 184 sosies in total, for 9 large, real-world, open source ap- plications. For all these programs we identied one type of program analysis that systematically increases the density of sosies; we measured computation diversity for sosies of 3 programs and found diversity in method calls or data in more than 40% of sosies. This is a step towards controlled massive unpredictability of software.

Connected through hyperedge HE-1 (induced by source paper "a journey among java neutral program variants"):
  with members:
    - "source code optimization using equivalent mutants"
    - "darwinian data structure selection"
    - "arja automated repair of java programs via multi objective genetic programming"
    - "correctness attraction a study of stability of software behavior under runtime perturbation"
    - "the multiple facets of software diversity recent developments in year 2000 and beyond"
    - "software mutational robustness"

Connected through hyperedge HE-2 (induced by source paper "don t wait to be breached creating asymmetric uncertainty of cloud applications via moving target defenses"):
  with members:
    - "clouns a cloud native application reference model for enterprise architects"
    - "cloud services brokerage a survey and research roadmap"

Connected through hyperedge HE-3 (induced by source paper "the multiple facets of software diversity recent developments in year 2000 and beyond"):
  with members:
    - "empirical evidence of large scale diversity in api usage of object oriented software"
    - "software mutational robustness"

Connected through hyperedge HE-4 (induced by source paper "automatic software diversity in the light of test suites"):
  with members:
    - "the multiple facets of software diversity recent developments in year 2000 and beyond"
    - "software mutational robustness"

Connected through hyperedge HE-5 (induced by source paper "dspot test amplification for automatic assessment of computational diversity"):
  with members:
    - "software mutational robustness"

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)