This paper presents a general method for the conversion of a decision table to a sequential testing procedure represented as a tree. The method resolves difficulties which have been discussed previously in the literature but leaves open the question of the production of optimum or near optimum trees related to particular criteria. It provides, however, a framework within which such optimising methods may be developed. Suggestions are also made for improving the concepts and notations used in extended entry tables and for their use in translation
In recent years, the software quality becomes more important because the system becomes large scale ...
AbstractIn this paper, we present three approaches for construction of decision rules for decision t...
Suppose there is a set of objects, {A, B,...E} and a set of tests, {T1, T2,...TN). When a test is ap...
Using ideas from information theory, this paper develops a heuristic algorithm that converts a limit...
Unmanageably bushy decision trees result when a decision analysis involves several in vestigations. ...
When a decision table is used to find a maximum expected utility testing strategy, it is based on a ...
The use of execution time diagnostics in pinpointing ambiguities in decision tables is discussed. It...
The Binary Decision Diagram method has been formulated over the last decade. It is the latest method...
The ability to restructure a decision tree efficiently enables a variety of approaches to decision t...
lthough at first sight the decision table looks almost the same as the decision table that arose yea...
The construction of optimal decision trees for the problem stated within can be accomplished by an e...
Construction algorithms of optimum and near-optimum decision trees are surveyed under two optimality...
Abstract. Test case selection and prioritization are well studied and understood regression testing ...
In this paper we present a novel dynamic programming algorithm to synthesize an optimal decision tre...
This paper treats the problem of conversion of decision tables to decision trees. In most cases, the...
In recent years, the software quality becomes more important because the system becomes large scale ...
AbstractIn this paper, we present three approaches for construction of decision rules for decision t...
Suppose there is a set of objects, {A, B,...E} and a set of tests, {T1, T2,...TN). When a test is ap...
Using ideas from information theory, this paper develops a heuristic algorithm that converts a limit...
Unmanageably bushy decision trees result when a decision analysis involves several in vestigations. ...
When a decision table is used to find a maximum expected utility testing strategy, it is based on a ...
The use of execution time diagnostics in pinpointing ambiguities in decision tables is discussed. It...
The Binary Decision Diagram method has been formulated over the last decade. It is the latest method...
The ability to restructure a decision tree efficiently enables a variety of approaches to decision t...
lthough at first sight the decision table looks almost the same as the decision table that arose yea...
The construction of optimal decision trees for the problem stated within can be accomplished by an e...
Construction algorithms of optimum and near-optimum decision trees are surveyed under two optimality...
Abstract. Test case selection and prioritization are well studied and understood regression testing ...
In this paper we present a novel dynamic programming algorithm to synthesize an optimal decision tre...
This paper treats the problem of conversion of decision tables to decision trees. In most cases, the...
In recent years, the software quality becomes more important because the system becomes large scale ...
AbstractIn this paper, we present three approaches for construction of decision rules for decision t...
Suppose there is a set of objects, {A, B,...E} and a set of tests, {T1, T2,...TN). When a test is ap...