AbstractWe examine the complexity of testing different program constructs. We do this by defining a measure of testing complexity known as VCP-dimension, which is similar to the Vapnik–Chervonenkis dimension, and applying it to classes of programs, where all programs in a class share the same syntactic structure. VCP-dimension gives bounds on the number of test points needed to determine that a program is approximately correct, so by studying it for a class of programs we gain insight into the difficulty of testing the program construct represented by the class. We investigate the VCP-dimension of straight line code, if–then–else statements, and for loops. We also compare the VCP-dimension of nested and sequential if–then–else statements as...
Abstract. The Vapnik-Chervonenkis (V-C) dimension is an important combinatorial tool in the analysis...
Context: Complexity measures provide us some information about software artifacts. A measure of the ...
We study the complexity of approximating the VC dimension of a collection of sets, when the sets are...
AbstractWe examine the complexity of testing different program constructs. We do this by defining a ...
We examine the complexity of testing di erent program constructs. We do this by de ning a measure of...
Given a programming language operating on stacks, we introduce a syntactical measure mu such that, a...
Lecture Notes in Artificial Intelligence 744, 279-287, 1993The Vapnik-Chervonenkis (VC) dimension is...
textabstractA stochastic model of learning from examples has been introduced by Valiant [1984]. This...
The Vapnik-Chervonenkis (VC) dimension is a combinatorial measure of a certain class of machine lear...
A proof that a concept is learnable provided the Vapnik-Chervonenkis dimension is finite is given. T...
AbstractIn the PAC-learning model, the Vapnik-Chervonenkis (VC) dimension plays the key role to esti...
In this paper, we apply different software complexity measures to a set of shortest-path algorithms....
Abstract—To improve performance, multiprocessor systems implement weak memory consistency models — a...
This article reports on the defintion and the measutement of the software complexity metrics of Hals...
ge like Pascal, C, Lisp, or whatever. We will restrict attention to programs that have no input, so ...
Abstract. The Vapnik-Chervonenkis (V-C) dimension is an important combinatorial tool in the analysis...
Context: Complexity measures provide us some information about software artifacts. A measure of the ...
We study the complexity of approximating the VC dimension of a collection of sets, when the sets are...
AbstractWe examine the complexity of testing different program constructs. We do this by defining a ...
We examine the complexity of testing di erent program constructs. We do this by de ning a measure of...
Given a programming language operating on stacks, we introduce a syntactical measure mu such that, a...
Lecture Notes in Artificial Intelligence 744, 279-287, 1993The Vapnik-Chervonenkis (VC) dimension is...
textabstractA stochastic model of learning from examples has been introduced by Valiant [1984]. This...
The Vapnik-Chervonenkis (VC) dimension is a combinatorial measure of a certain class of machine lear...
A proof that a concept is learnable provided the Vapnik-Chervonenkis dimension is finite is given. T...
AbstractIn the PAC-learning model, the Vapnik-Chervonenkis (VC) dimension plays the key role to esti...
In this paper, we apply different software complexity measures to a set of shortest-path algorithms....
Abstract—To improve performance, multiprocessor systems implement weak memory consistency models — a...
This article reports on the defintion and the measutement of the software complexity metrics of Hals...
ge like Pascal, C, Lisp, or whatever. We will restrict attention to programs that have no input, so ...
Abstract. The Vapnik-Chervonenkis (V-C) dimension is an important combinatorial tool in the analysis...
Context: Complexity measures provide us some information about software artifacts. A measure of the ...
We study the complexity of approximating the VC dimension of a collection of sets, when the sets are...