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    Testing properties of constraint-graphs

    Halevy, S. and Lachish, Oded and Newman, I. and Tsur, D. (2007) Testing properties of constraint-graphs. In: UNSPECIFIED (ed.) Twenty-Second Annual IEEE Conference on Computational Complexity (CCC'07). IEEE Computer Society. ISBN 9780769527809.

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    Abstract

    We study a model of graph related formulae that we call the constraint-graph model. A constraint-graph is a labeled multi-graph (a graph where loops and parallel edges are allowed), where each edge e is labeled by a distinct Boolean variable and every vertex is associated with a Boolean function over the variables that label its adjacent edges. A Boolean assignment to the variables satisfies the constraint graph if it satisfies every vertex function. We associate with a constraint-graph G the property that consists of all assignments satisfying G, denoted SAT(G). We show that the above model is quite general. That is, for every property of strings P there exists a property of constraint-graphs P G such that P is testable using q queries if and only if P G is thus testable. In addition, we present a large family of constraint-graphs for which SAT(G) is testable with constant number of queries. As an implication of this, we infer the testability of some edge coloring problems (e.g. the property of two coloring of the edges in which every node is adjacent to at least one vertex of each color). Another implication is that every property of Boolean strings that can be represented by a read-twice CNF formula is testable. We note that this is the best possible in terms of the number of occurrences of every variable in a formula.

    Metadata

    Item Type: Book Section
    School: School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Sarah Hall
    Date Deposited: 25 May 2021 13:34
    Last Modified: 25 May 2021 13:34
    URI: https://eprints.bbk.ac.uk/id/eprint/44412

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