AbstractData Flow Analysis can be used to find some of the errors in a computer program and gives as output a set of dubious paths of the investigated program, which have to be checked for executability. This can be done by solving a system of inequalities in order to obtain input data for that path. This article discusses how to obtain a reliable solution of this system in the linear case, when rounding effects are taken into account. The method is based on the simplex algorithm from linear programming, and returns a solution in the middle of the feasible region. The general nonlinear case is much more difficult to handle
This paper describes a system that is currently being implemented to generate test data for programs...
Software testing is complex and time consuming. One way to reduce the effort associated with testing...
In this paper we analyze the complexity of algorithms for two problems that arise in automatic test ...
AbstractData Flow Analysis can be used to find some of the errors in a computer program and gives as...
This paper presents methods to provide computer-assisted analysis to diagnose infeasible or unbounde...
This dissertation addresses the problem of automated test data generation for commonly used coverage...
An unfortunate characteristic of current static analysis algorithms is their apparent inability to d...
* The research is supported partly by INTAS: 04-77-7173 project, http://www.intas.beThe general disc...
As linear programs have grown larger and more complex, infeasible models are appearing more frequent...
This paper examines a family of program test data selection criteria derived from data flow analysis...
AbstractThis paper is about testability analysis for data-flow software. We describe an application ...
AbstractThis paper deals with the rounding-error analysis of the simplex method for solving linear-p...
. This paper describes a general purpose program analysis that computes global control-flow and data...
Many problems in program optimizationn have been solved by applying a technique called interval anal...
This paper presents an approach to automatic unit test data generation for branch coverage using mix...
This paper describes a system that is currently being implemented to generate test data for programs...
Software testing is complex and time consuming. One way to reduce the effort associated with testing...
In this paper we analyze the complexity of algorithms for two problems that arise in automatic test ...
AbstractData Flow Analysis can be used to find some of the errors in a computer program and gives as...
This paper presents methods to provide computer-assisted analysis to diagnose infeasible or unbounde...
This dissertation addresses the problem of automated test data generation for commonly used coverage...
An unfortunate characteristic of current static analysis algorithms is their apparent inability to d...
* The research is supported partly by INTAS: 04-77-7173 project, http://www.intas.beThe general disc...
As linear programs have grown larger and more complex, infeasible models are appearing more frequent...
This paper examines a family of program test data selection criteria derived from data flow analysis...
AbstractThis paper is about testability analysis for data-flow software. We describe an application ...
AbstractThis paper deals with the rounding-error analysis of the simplex method for solving linear-p...
. This paper describes a general purpose program analysis that computes global control-flow and data...
Many problems in program optimizationn have been solved by applying a technique called interval anal...
This paper presents an approach to automatic unit test data generation for branch coverage using mix...
This paper describes a system that is currently being implemented to generate test data for programs...
Software testing is complex and time consuming. One way to reduce the effort associated with testing...
In this paper we analyze the complexity of algorithms for two problems that arise in automatic test ...