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 generation of test data for prolog by partial evaluation"
  Abstract: In recent work, we have proposed an approach to Test Data Generation (TDG) of imperative bytecode by partial evaluation (PE) of CLP which consists in two phases: (1) the bytecode program is first transformed into an equivalent CLP program by means of interpretive compilation by PE, (2) a second PE is performed in order to supervise the generation of test-cases by execution of the CLP decompiled program. The main advantages of TDG by PE include flexibility to handle new coverage criteria, the possibility to obtain test-case generators and its simplicity to be implemented. The approach in principle can be directly applied for TDG of any imperative language. However, when one tries to apply it to a declarative language like Prolog, we have found as a main difficulty the generation of test-cases which cover the more complex control flow of Prolog. Essentially, the problem is that an intrinsic feature of PE is that it only computes non-failing derivations while in TDG for Prolog it is essential to generate test-cases associated to failing computations. Basically, we propose to transform the original Prolog program into an equivalent Prolog program with explicit failure by partially evaluating a Prolog interpreter which captures failing derivations w.r.t. the input program. Another issue that we discuss in the paper is that, while in the case of bytecode the underlying constraint domain only manipulates integers, in Prolog it should properly handle the symbolic data manipulated by the program. The resulting scheme is of interest for bringing the advantages which are inherent in TDG by PE to the field of logic programming.

Connected through hyperedge HE-1 (induced by source paper "an overview of ciao and its design philosophy"):
  with members:
    - "description and optimization of abstract machines in a dialect of prolog"
    - "distributed www programming using ciao prolog and the pillow library"
    - "more precise yet efficient type inference for logic programs"

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.PL(Programming Languages)