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: "achievement of minimized combinatorial test suite for configuration aware software functional testing using the cuckoo search algorithm"
  Abstract: A new approach is used to generate combinatorial test suites.Cuckoo Search application is investigated for a new type of application and case study.The strategy opens a new approach in Search Based Software Testing (SBST).The strategy is evaluated through different benchmarks and it is able to get comparative results.Application of combinatorial optimization is also investigated in the current paper. ContextSoftware has become an innovative solution nowadays for many applications and methods in science and engineering. Ensuring the quality and correctness of software is challenging because each program has different configurations and input domains. To ensure the quality of software, all possible configurations and input combinations need to be evaluated against their expected outputs. However, this exhaustive test is impractical because of time and resource constraints due to the large domain of input and configurations. Thus, different sampling techniques have been used to sample these input domains and configurations. ObjectiveCombinatorial testing can be used to effectively detect faults in software-under-test. This technique uses combinatorial optimization concepts to systematically minimize the number of test cases by considering the combinations of inputs. This paper proposes a new strategy to generate combinatorial test suite by using Cuckoo Search concepts. MethodCuckoo Search is used in the design and implementation of a strategy to construct optimized combinatorial sets. The strategy consists of different algorithms for construction. These algorithms are combined to serve the Cuckoo Search. ResultsThe efficiency and performance of the new technique were proven through different experiment sets. The effectiveness of the strategy is assessed by applying the generated test suites on a real-world case study for the purpose of functional testing. ConclusionResults show that the generated test suites can detect faults effectively. In addition, the strategy also opens a new direction for the application of Cuckoo Search in the context of software engineering.

Connected through hyperedge HE-1 (induced by source paper "an evaluation of monte carlo based hyper heuristic for interaction testing of industrial embedded software applications"):
  with members:
    - "can pairwise testing perform comparably to manually handcrafted testing carried out by industrial engineers"
    - "software design document testing deployment and configuration management and user manual of the uuis a team 4 comp5541 w10 project approach"

Connected through hyperedge HE-2 (induced by source paper "using simulated annealing for locating array construction"):
  with members:
    - "constrained locating arrays for combinatorial interaction testing"
    - "handling constraints in combinatorial interaction testing in the presence of multi objective particle swarm and multithreading"
    - "a constructive proof of the general lovasz local lemma"

Connected through hyperedge HE-3 (induced by source paper "dynamic solution probability acceptance within the flower pollination algorithm for t way test suite generation"):
  with members:
    - "a hybrid q learning sine cosine based strategy for addressing the combinatorial test suite minimization problem"
    - "fuzzy adaptive teaching learning based optimization strategy for the problem of generating mixed strength t way test suites"

Connected through hyperedge HE-4 (induced by source paper "code aware combinatorial interaction testing"):
  with members:
    - "towards an automated unified framework to run applications for combinatorial interaction testing"
    - "stable models and an alternative logic programming paradigm"

Connected through hyperedge HE-5 (induced by source paper "generation and application of constrained interaction test suites using base forbidden tuples with mixed neighborhood tabu search"):
  with members:
    - "handling constraints in combinatorial interaction testing in the presence of multi objective particle swarm and multithreading"

Connected through hyperedge HE-6 (induced by source paper "a hybrid q learning sine cosine based strategy for addressing the combinatorial test suite minimization problem"):
  with members:
    - "fuzzy adaptive teaching learning based optimization strategy for the problem of generating mixed strength t way test suites"

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)