AbstractResearch on flow analysis and optimization of logic programs typically assumes that the programs being analyzed are static, i.e. any code that can be executed at runtime is available for analysis at compile time. This assumption may not hold for “real” programs, which can contain dynamic goals of the form call(X), where X is a variable at compile time, or where predicates may be modified via features like assert and retract. In such contexts, a compiler must be able to take the effects of such dynamic constructs into account in order to perform nontrivial flow analyses that can be guaranteed to be sound. This paper outlines how this may be done for certain kinds of dynamic programs. Our techniques allow analysis and optimization tec...
. In several functional logic programming languages, functional expressions must be evaluated before...
AbstractThis paper presents the integration of the optimization known as dynamic cut within the func...
Dynamic program analysis is extremely successful both in code debugging and in malicious code attack...
AbstractResearch on flow analysis and optimization of logic programs typically assumes that the prog...
Research on flow analysis and optimization of logic programs typically assumes that the programs bei...
AbstractDynamic programming has been used since the late 1950s to solve numerical problems that have...
The goal of dynamic programs as introduced by Patnaik and Immerman (1994) is to maintain the result ...
Dynamic analyses reason about a program’s concrete heap and control flow and hence can report on act...
AbstractProgramming environments are essential for the acceptance of programming languages. This sur...
Abstract. Flow logic is an approach to static analysis that separates the specification of when an a...
AbstractWe show how restructuring a denotational definition leads to a more efficient compiling algo...
Static program analysis is used to summarize properties over all dynamic executions. In a unifying a...
Abstract‘Looping’ of nondeterministic while-programs is shown to be expressible in Regular First Ord...
A logic program consists of a logic component and a control component. The former is a specification...
Static analysis requires the full knowledge of the overall program structure. The structure of a pro...
. In several functional logic programming languages, functional expressions must be evaluated before...
AbstractThis paper presents the integration of the optimization known as dynamic cut within the func...
Dynamic program analysis is extremely successful both in code debugging and in malicious code attack...
AbstractResearch on flow analysis and optimization of logic programs typically assumes that the prog...
Research on flow analysis and optimization of logic programs typically assumes that the programs bei...
AbstractDynamic programming has been used since the late 1950s to solve numerical problems that have...
The goal of dynamic programs as introduced by Patnaik and Immerman (1994) is to maintain the result ...
Dynamic analyses reason about a program’s concrete heap and control flow and hence can report on act...
AbstractProgramming environments are essential for the acceptance of programming languages. This sur...
Abstract. Flow logic is an approach to static analysis that separates the specification of when an a...
AbstractWe show how restructuring a denotational definition leads to a more efficient compiling algo...
Static program analysis is used to summarize properties over all dynamic executions. In a unifying a...
Abstract‘Looping’ of nondeterministic while-programs is shown to be expressible in Regular First Ord...
A logic program consists of a logic component and a control component. The former is a specification...
Static analysis requires the full knowledge of the overall program structure. The structure of a pro...
. In several functional logic programming languages, functional expressions must be evaluated before...
AbstractThis paper presents the integration of the optimization known as dynamic cut within the func...
Dynamic program analysis is extremely successful both in code debugging and in malicious code attack...