Abstract. We present a modular approach to automatic complexity analysis. Based on a novel alternation between finding symbolic time bounds for program parts and using these to infer size bounds on pro-gram variables, we can restrict each analysis step to a small part of the program while maintaining a high level of precision. Extensive experi-ments with the implementation of our method demonstrate its perfor-mance and power in comparison with other tools.
Complexity theory helps us predict and control resources, usually time and space, consumed by progra...
This paper describes an inter-procedural technique for computing symbolic bounds on the number of st...
We study the problem of automatically computing the time complexity of concurrent object-oriented pr...
Abstract. We present a modular approach to automatic complexity analysis. Based on a novel alternati...
We present a modular approach to automatic complexity analysis of integer programs. Based on a novel...
In earlier work, we developed an approach for automatic complexity analysis of integer programs, bas...
A definition is proposed for a size measure to be used as a parameter for algorithm analysis in any ...
AbstractA definition is proposed for a size measure to be used as a parameter for algorithm analysis...
This paper introduces a new methodology for the complexity analysis of higher-order functional progr...
Abstract. We present a tool to automatically perform the data-size analysis of imperative programs w...
This paper introduces a new methodology for the complexity analysis of higher-order functional progr...
The standard language for describing the asymptotic behavior of algorithms is theoretical computatio...
This dissertation describes research toward automatic complexity analysis of logic programs and its ...
. This paper describes a general approach for automatic and accurate time-bound analysis. The approa...
International audienceImplicit Computational Complexity (ICC) drives better understanding of complex...
Complexity theory helps us predict and control resources, usually time and space, consumed by progra...
This paper describes an inter-procedural technique for computing symbolic bounds on the number of st...
We study the problem of automatically computing the time complexity of concurrent object-oriented pr...
Abstract. We present a modular approach to automatic complexity analysis. Based on a novel alternati...
We present a modular approach to automatic complexity analysis of integer programs. Based on a novel...
In earlier work, we developed an approach for automatic complexity analysis of integer programs, bas...
A definition is proposed for a size measure to be used as a parameter for algorithm analysis in any ...
AbstractA definition is proposed for a size measure to be used as a parameter for algorithm analysis...
This paper introduces a new methodology for the complexity analysis of higher-order functional progr...
Abstract. We present a tool to automatically perform the data-size analysis of imperative programs w...
This paper introduces a new methodology for the complexity analysis of higher-order functional progr...
The standard language for describing the asymptotic behavior of algorithms is theoretical computatio...
This dissertation describes research toward automatic complexity analysis of logic programs and its ...
. This paper describes a general approach for automatic and accurate time-bound analysis. The approa...
International audienceImplicit Computational Complexity (ICC) drives better understanding of complex...
Complexity theory helps us predict and control resources, usually time and space, consumed by progra...
This paper describes an inter-procedural technique for computing symbolic bounds on the number of st...
We study the problem of automatically computing the time complexity of concurrent object-oriented pr...