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: "process based unification for multi model software process improvement"
  Abstract: Many different quality approaches are available in the software industry. Some of the ap-proaches, such as ISO 9001 are not software specific, i.e. they define general requirements for an organization and they can be used at any company. Others, such as Automotive SPICE have been derived from a software specific approach, and can be used for improving specific (in this case automotive) processes. Some are created to improve development processes (e.g. CMMI for Development), others focus on services (e.g. CMMI for Services), and again others are related to particular processes such as software testing (e.g. TMMi) or resource manage-ment (e.g. People CMM). A number of differences among quality approaches exist and there can be various situations in which the usage of multiple approaches is required, e.g. to strengthen a particular process with multiple quality approaches or to reach certification of the compliance to a number of stand-ards. First of all it has to be decided which approaches have potential for the organization. In many cases one approach does not contain enough information for process implementation. Consequently, the organization may need to use several approaches and the decision has to be made how the chosen approaches can be used simultaneously. This area is called Multi-model Software Process Improvement (MSPI). The simultaneous usage of multiple quality ap-proaches is called the multi-model problem. In this dissertation we propose a solution for the multi-model problem which we call the Pro-cess Based Unification (PBU) framework. The PBU framework consists of the PBU concept, a PBU process and the PBU result. We call PBU concept the mapping of quality approaches to a unified process. The PBU concept is operationalized by a PBU process. The PBU result includes the resulting unified process and the mapping of quality approaches to the unified process. Accordingly, we addressed the following research question: Does the PBU framework provide a solution of sufficient quality for current problems of sim-ultaneous usage of multiple quality approaches? In order to recognize a solution of sufficient quality we identified criteria for multi-model so-lutions based on current problems and initiatives. This is called MSPI criteria. In order to determine if the mapping of quality approaches to a process is possible we ana-lysed elements of quality approaches, elements of processes and the mapping of quality ap-proach elements to process elements. Findings of the analysis lead us to design a multi-model solution, the PBU framework. In order to show the feasibility of the results, we performed a case study reflecting how the PBU framework can be used in practice for developing a unified (peer review) process which conforms to three different quality approaches. Finally we assessed the PBU framework against MSPI criteria. With the case study and the assessment of the PBU framework we an-swered the research question and provided a proof of concept of the research

Connected through hyperedge HE-1 (induced by source paper "fundamental analysis of a developer support chat log for identifying process improvement opportunities"):
  with members:
    - "a measurement based software quality framework"
    - "towards applying text mining techniques on software quality standards and models"

Connected through hyperedge HE-2 (induced by source paper "a measurement based software quality framework"):
  with members:
    - "a new complete class complexity metric"
    - "gqm strategies a comprehensive methodology for aligning business strategies with software measurement"
    - "the effects of gqm strategies on organizational alignment"

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)